Adobe Experience Platform Managed Support Services Unlock your customer data’s full potential with Softcrylic’s AEP RT-CDP support services.
We provide run and operate services for your CDP implementations. Our services include data validation, audience creation, and data activation across multiple channels. We ensure consistency, quality, and efficiency throughout the process to help you maximize your return on value.
License Usage Optimization Data Hygiene and QA We validate data quality, privacy, and audience accuracy using our proprietary solution (DataFacts) as soon as the data is ingested into your Customer Data Platform (CDP).
Data Activation – Strategy + Engineering Additional Use Cases Implementation We help our clients expand customer data platform by implementations additional use cases and activate it across more channels.
Advanced Personalization We enrich customer profiles, improve data quality, personalize e-commerce experiences, and enable privacy-focused personalization.
Campaign Optimization We help optimize paid media and social media campaigns to reach target audiences effectively.
AEP Onshore Team Analyze activities and develop implementation plan to address support issues or enable new use cases.
Project Manager Facilitate communication between all teams to ensure high-quality, timely service. Guarantee support meets or exceeds quality and timeline standards.
Data Architects & Engineers Data Architect: Helps resolve issues closely with Enterprise Architect. Also helps implement new uses by designing data schemas and datasets.
Helps Data Architect ingest new data, validate it, and write queries to enable new use cases. Also helps resolve issues promptly.
Roles Data Architect
AEP Specialist
Project Manager
10+ years experience in Martech.
Lead and Tech SME for Evaluations and Deployments.
Concentrates on the data and technical side of the house.
Technology Agnostic.
Liasson between the business and technology leads.
Responsible for Architecture, Tech Evaluation, roadmap and delivery.
Brands we work with Adobe Experience Platform Insights Our library was created by our subject matter experts on their insights, and observations, delivered through blogs, case studies, and infographics.
Adobe Experience Platform (AEP): What we know and what we don’t Here at Softcrylic, we have deep level of expertise with multiple Adobe solutions that extends across our practices. From strategic planning and implementation to automation and integration, we specialize in leveraging the tools of the Adobe Experience Cloud to digitally transform your business.
We are excited to present this offer and look forward to hearing from you.
We respect your privacy and take protecting it seriously!

#J-18808-Ljbffr

About Us:

At Innovation Technologies, we are reputable technology services and consulting firm with a Global reach. We specialize in providing high-quality services that deliver impactful results to our clients. Our mission is to empower businesses to achieve more by leveraging the latest technological advancements and best practices in their industries.

Job Summary/Objective :

As a Data Architect, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will be responsible for creating scalable and efficient data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Your expertise in various data engineering tools and cloud platforms will be essential in delivering high-performance data solutions. You will collaborate with business teams, development teams, and other stakeholders to implement best practices and standards, driving our data strategy forward. This role is pivotal in ensuring that our data systems are robust, reliable, and capable of supporting our business needs, particularly within the insurance domain.

Responsibilities:

Design, develop, and implement scalable data pipelines, ETL processes, and workflows to collect, process, and store data from various sources.

Build and maintain data warehouses, data lakes, and other data storage systems to ensure data accessibility, reliability, and performance.

Develop and optimize database schemas, data models, and queries to support efficient data retrieval and analysis.

Implement data quality assurance processes, including data validation, cleansing, and error handling to ensure data accuracy and integrity.

Monitor and troubleshoot data pipelines and systems to identify and resolve issues, ensuring high availability and performance.

Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain system documentation.

Collaborate with business teams, development teams, and other stakeholders to deliver data solutions with best practices and standards.

Stay updated with emerging data engineering technologies and tools to recommend and implement improvements.

Experience:

More than 8 years of relevant experience in data engineering tools like Spark, Hadoop, Azure Data pipelines, Azure Data Factory, Azure Data Lake Storage, Databricks, Delta Lake, Python, SQL Server, and experience with other cloud providers – AWS, GCP. (Experience preferably within the insurance domain).

Experience in the insurance industry or a similar domain.

Certifications in relevant technologies or cloud platforms.

Qualifications and Skills:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Proven track record of delivering complex data projects on time and within budget.

Strong analytical, problem-solving, and organizational skills.

Excellent communication and collaboration skills.

Strong knowledge and experience designing and implementing solutions on databases like Hadoop, SQL Server, Oracle, and Snowflake.

Demonstrated experience in building and tuning data pipelines on Spark, cloud-native tools like EMR, Azure Data Factory, and ETL tools such as Informatica and Abinitio.

Experience with both batch and stream ingestion of data from source databases like SQLServer, Oracle, MySQL, and other RDBMS based databases.

Ability to communicate effectively about a wide variety of data engineering tools, architectures across cloud providers, and open-source tools and packages.

Experience working with business teams and development teams to design data solutions adhering to best practices and standards.

Knowledge of SSIS is a plus.

Integration experience with various systems and platforms.

Work Environment:

We believe in fostering a positive and inclusive work environment that encourages innovation, growth, and collaboration.

Company Culture:

Diversity and Inclusion: Innovation Tech promotes a culture of diversity and inclusion, recognizing the value of different perspectives, backgrounds, and experiences. We aim to create an inclusive work environment where all employees feel respected, valued, and empowered.

Innovation and Continuous Improvement: Innovation Tech values innovation and encourages employees to think creatively, embrace change, and identify opportunities for improvement.

Work-Life Balance: Innovation Tech recognizes the importance of work-life balance and promotes employee well-being. Offer flexible work arrangements, wellness programs, and resources to help employees manage their personal and professional lives effectively.

Core Values: Innovon Tech judiciously follows “Respect, Inclusivity, Trust, Integrity, Accountability,Passion, Proactivity”as core values of the company

How to Apply:

Interested Candidates please share your resume with “careers@innovontek.com” or can upload your resume at Innovon Tech website: https://innovontek.com/careers/
#J-18808-Ljbffr

Job Title: Lead Architect with Salesforce / AWS / Data Warehouse Experience (Hybrid)
Location: Trenton, NJ
Duration: 12+ Months
Job Description: 
We are looking for a highly skilled and experienced Senior Lead Technical Architect with over 10 years of experience to join our team. The successful candidate will be responsible for leading the architecture design and implementation of complex technology solutions, working closely with cross-functional teams to ensure alignment with business objectives and compliance with industry and technical standards. This role requires significant experience in managing large-scale technical projects, particularly in utilizing tools such as Salesforce, AWS, or Snowflake (Data Warehouse). If the candidate does not have direct experience with any one tool above, but has experience with the other two, experience with comparable tools will be considered. This role is critical to our ongoing efforts to modernize and optimize our technical infrastructure.
Responsibilities:
<ul>
<li>Lead the design, development, and implementation of scalable and reliable technical architectures that meet business requirements.</li>
<li>Oversee multiple projects, ensuring timely delivery and adherence to project scope and budget. Provide technical guidance to project teams.</li>
<li>Utilize significant experience with at least two of the following tools: Salesforce, AWS, Snowflake, or other comparable technologies, to drive project success.</li>
<li>Work closely with stakeholders, including business analysts, developers, and project managers, to gather requirements and translate them into technical specifications.</li>
<li>Develop and maintain a technical roadmap that aligns with the organization's goals and objectives. Propose improvements and innovative solutions.</li>
<li>Implement strategies for optimizing system performance, scalability, and security. Conduct regular reviews and assessments.</li>
<li>Ensure thorough documentation of architecture, design decisions, and system configurations. Maintain adherence to industry standards and best practices.</li>
<li>Provide technical leadership and mentorship to junior architects and development teams. Foster a culture of continuous learning and improvement.</li>
<li>Oversee the integration of various systems and technologies to ensure seamless operation and data flow. Conduct integration testing and validation.</li>
<li>Identify potential risks and develop mitigation strategies to address them proactively. Conduct regular risk assessments.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's or master's degree in computer science, information technology, or a related field.</li>
<li>10+ years of overall technical architect experience.</li>
<li>8+ years proven experience as an integration architect with a focus on Salesforce, Snowflake (or similar cloud data warehouse), AWS, ETL tools, and Business Rules Engines.</li>
<li>Strong knowledge of integration patterns, API design, and data integration strategies.</li>
<li>Certification in relevant technologies (e.g., Salesforce, Snowflake, AWS) is a plus.</li>
<li>Proficiency in programming languages (e.g., Python), database systems, and middleware technologies.</li>
<li>Experience with cloud-based integration platforms and services.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Exceptional communication and interpersonal skills.</li>
<li>Strong project management and leadership abilities.</li>
<li>A deep understanding of data governance, security, and compliance.</li>
</ul>
Job Type: Contract
Pay: $90.00 - $100.00 per hour
Expected hours: 40 per week
Benefits:
<ul>
<li>401(k)</li>
<li>Dental insurance</li>
<li>Health insurance</li>
</ul>
Schedule:
<ul>
<li>8 hour shift</li>
<li>Monday to Friday</li>
</ul>
Experience:
<ul>
<li>Data modeling: 1 year (Preferred)</li>
</ul>
Work Location: On the road
#J-18808-Ljbffr

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.The exceptional EY experience. It's yours to build.EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.<h3>The opportunity</h3>Our Data and Analytics team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems (some that have not been solved before). No two days will be the same, and, with constant research and development, you’ll find yourself building knowledge that can be applied across a wide range of projects now and in the future. This is a high-growth area with plenty of opportunities to enhance your skill set and build your career.<h3>Your key responsibilities</h3>We are searching for an experienced and dynamic Senior Clinical Trial Developer and Modeler to join our team. The successful candidate will be primarily responsible for conceptualizing, developing, and optimizing clinical trial designs and predictive models with our clients. You will help them streamline clinical trial processes, and ensure Clinical Research methods are efficient, cost-effective, and meet the highest standards of accuracy and validity.There is no such thing as a typical day. You will run multiple client engagement teams, work with a wide variety of clients to help them navigate the complex world of advanced analytics. We’ll look to you to provide our clients with a unique business perspective on how advanced analytics can transform and improve their entire organization — starting with the key business issues they face.<h3>Skills and attributes for success</h3><ol><li>Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.</li><li>Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.</li><li>Managing expectations of client service delivery.</li><li>Staying abreast of current business and industry trends relevant to the client's business.</li><li>Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on-the-job feedback/coaching to team members.</li><li>Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.</li><li>Developing and maintaining long-term client relationships and networks.</li><li>Partnering with information architecture to build logical/canonical and physical data models aligned with conceptual data models.</li><li>Develop, organize, and manage clinical trial protocols, including study design, selection criteria, and protocol writing.</li><li>Perform statistical modeling and simulation to optimize clinical trial designs.</li><li>Implement advanced statistical methods to analyze, interpret, and visualize complex clinical data.</li><li>Collaborate with clinical and research leaders to understand data needs and apply appropriate methodologies.</li><li>Assess the feasibility of proposed clinical trials based on statistical modeling.</li><li>Apply innovative strategies to manage missing data, model selection, and validation.</li><li>Provide statistical expertise and guidance to clinical teams and stakeholders.</li><li>Ensure all clinical trial activities comply with regulatory standards.</li><li>Prepare comprehensive reports of clinical trial results, and present findings to stakeholders.</li><li>Keep abreast of new trends and advancements in the field of clinical trials and statistical modeling.</li></ol><h3>To qualify for the role you must have</h3><ol><li>A bachelor's degree and approximately five years of related work experience; or a graduate degree in the same and approximately four years of related work experience.</li><li>Deep knowledge of Life Sciences Research and Early Discovery (R&ED) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab – Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.</li><li>Strong Life Sciences R&ED Data Information Architecture Development – Functional and Technical experience.</li><li>Proven experience as Clinical Trial Developer researcher or a relevant role, preferably in a senior position.</li><li>Proficiency in statistical modeling and clinical trial design.</li><li>Experience with statistical analysis software (SAS, R, Python, etc.).</li><li>Excellent understanding of clinical trial regulatory and submission processes.</li><li>Familiarity with clinical trial data management systems.</li><li>Strong analytical thinking and problem-solving skills.</li><li>Excellent written and verbal communication skills.</li><li>Knowledge of industry standards like CDISC SDTM, ADaM, and Define-XML.</li><li>Ability to work both independently and as part of a team.</li><li>A minimum of four years’ experience providing consulting services with a strategic focus in helping clients achieve transformational value by improving performance through the use of data and analytics solutions.</li><li>A willingness to travel to meet client needs. A valid driver’s license in the US.</li></ol><h3>Ideally, you’ll also have</h3><ol><li>Master's or PhD in Biostatistics, Statistics, Mathematics, or a related field.</li><li>Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc).</li><li>Experience with data and systems architecture (APIs, messaging, etc.).</li><li>Experience with master data management and data governance.</li><li>Experience with data visualization tools such as Power BI and Tableau.</li></ol><h3>What we look for</h3>We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the analytics industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.<h3>What we offer</h3>We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at <a href="#">ssc.customersupport@ey.com</a>
#J-18808-Ljbffr

Need a Sr Enterprise Architect focusing for building data architecture Frameworks, Standards, and Data Modeling activities defining Conceptual, Logical, Physical Analytical and Canonical models. 15 yrs Hands on Experience of AWS Architecture required Note: Need a local contractor who is available to come into the office for meetings. Contractor will be able to work remotely a lot of the time. This requirement will be extended 1-2 years. Must have Excellent written and verbal communication skills, meticulous attention to detail, as well as the ability to understand abstract concepts. Enterprise Data Architect is responsible for designing the blueprint for 's data management framework. Collaborate with IT management and other teams to develop a data strategy that meets departmental needs and industry requirements. Create an inventory of the data necessary to build and implement a data architecture. Envision, design data pipelines and how data will flow through the enterprise. Maintain a repository of all data architecture procedures and artifacts. Develop measures that ensure data accuracy, integrity and accessibility. Continually monitor, refine and report data management system performance. He should have strong business and communication skills as well as knowledge to act as a bridge between business operations and IT. of the big data industry. He must work with data engineers to integrate, consolidate, cleanse and structure data for use in analytics applications. The enterprise data architect must have a deep understanding of AWS services and cloud infrastructure. This skill set includes proficiency in AWS core services such as EC2, S3, VPC, and RDS, as well as an understanding of advanced services like AWS Lambda, Amazon ECS, and AWS Outposts. KNOWLEDGE AND EXPERIENCE •15+ years of experience in Business/working as a Data Architect, Data Modeler, Data Analyst •Understand the AWS Cloud Architecture and the basics of its infrastructure - Hands on Experience and Expertise in using AWS tools: AWS glue, data brew, AWS Lambda,AWS S3, AWS Dynamo DB, AWS RDS, Athena, Redshift, DMS •Hands on Experience andExpertise in creating and automating Data pipelines using AWS services. •Expertise in Data Management Principles •Expertise in Master Data Management Principles •Expertise in Data Governance Concepts •Expertise in Data Engineering Methodologies •Expertise in Data Modeling, Solution Architecture, Master DataManagement (MDM), Gathering and Systems Analysis in State, •Proficient in, NoSQL, Relational MDM Data Modeling. •Experience in Data Governance with Collibra •Experienced in working with different SoftwareDevelopment Methodologies. DUTIES and RESPONSIBILITIES •Conduct an Assessment of the Current State of Data Systems •Establish the System of Record and Data Dictionary for Data Systems •Develop Enterprise Architecture •Create and construct Conceptual, Logical, and Physical Models •Facilitate Business Sessions to validate business taxonomy and usecases •Provide an initial design solution for the core data model andadditional forthcoming data structures •Support project requirements in the modernization of Conceptual,Logical, and Physical Models •Define the architecture across Conceptual, Logical, and Physicallayers •Develop and maintain Conceptual, Logical, and Physical data modelsutilizing best practices and ensuring optimal query performance •Optimize and update Conceptual, Logical, and Physical data models tofoster a new and secure data environment •Assist in establishing best practices for standard naming conventions •Coordinate activities with the EDL team, including developers andtesters •Assist in promoting database objects from lower to higher environments •Lead design reviews of data models and relevant metadata to ensureconsistency •Recommend opportunities for the reuse of data models across projects •Consult with Database Administrators regarding the creation ofphysical data schemas, referential integrity, and the fulfillment of businessrequirements •Collaborate with ETL developers, report developers, and end users oneffective database utilization •Guide System Analysts, Engineers, Programmers, and others on project limitations, requirements, interfaces, and system integration challenges and solutions •Mentor DOL team members on all facets of Data Modeling. REQUIRED SKILLS Data Architecture 15 Years AWS Cloud Architecture 10 Years AWSGlue/Athena/Storage/Lambda/Data Brew/RDS/Redshift, DMS 10 Years Operational Data ModelingSkills 15 Years Analytical Modeling Skills 15 Years Data Governance 10 Years Master Data Management 15 years Metadata Management 10 Years Data Cataloging 15 Years Data Engineering and ETL 15 Years Data Quality 15 Years Excellent written andverbal communication skills 15 years Strong attention to detail 15 years Ability to write inexplanatory and procedural styles for multiple audience 15 years Skilled at prioritizationand multi-tasking 5 years DESIRED SKILLS Mainframe Technologiesincluding Cobol, Db2, IMS DB/DC, VSAM, JCL 5 years Knowledge of working inFederal, State and Local Government 5 years Required/Desired Skills Skill Required /Desired Amount Consultant Experience Consultant Last Used Data Architecture Required 15 AWS Cloud Architecture Required 10 AWS Glue/Athena/Storage/Lambda/Data Brew/RDS/ Redshift, DMS Required 10 Operational Data Modeling Skills Required 15 Analytical Modeling Skills Required 15 Data Governance Required 10 Master Data Management Required 15 Information Governance Required 10 Metadata Management Required 10 Data Cataloging Required 15 Data Engineering and ETL Required 15 Data Quality Required 15 Experience writing in explanatory and procedural styles for multiple audiences Required 15 Expereince in prioritization and multi-tasking Required 5 Mainframe Technologies including COBOL, DB2, IMS DB/DC, VSAM, JCL Desired 5 Knowledge of working in Federal, State and Local Government Desired 5 Questions No. Question Consultant Answer Question1 Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement? Question2 What is your candidate's email address? Question3 Where does your candidate currently reside (City & State)? Question4 If your candidate resides more than 1 hour from the Client site, will your candidate relocate for the position? Question6 Please provide link to LinkedIn profile if available. Question7 Please include education and any certifications on the resume including name of college/university, date of graduation. Do you accept this requirement?

Job Summary

We are seeking an Enterprise Data Architect to lead the design and implementation of NJDOL's data management framework. This role involves developing a comprehensive data strategy, creating data pipelines, ensuring data accuracy, and improving data accessibility across the enterprise. The ideal candidate will have extensive expertise in AWS services, data governance, data modeling, and master data management. The candidate should have strong communication skills to act as a bridge between business operations and IT.

Key Responsibilities

•Conduct assessments of current data systems and establish a system of record and data dictionary.

•Design and maintain enterprise architecture, including conceptual, logical, and physical models.

•Facilitate business sessions to validate taxonomy and use cases.

•Provide design solutions for core data models and new data structures.

•Create and automate data pipelines using AWS services.

•Define and optimize data models to enhance query performance and foster secure data environments.

•Coordinate with the EDL team and assist in promoting database objects across environments.

•Lead design reviews and recommend reusable data models.

•Collaborate with database administrators, ETL developers, and other stakeholders for effective data utilization.

•Mentor team members in data modeling best practices and methodologies.

Required Qualifications

•15+ years of experience as a Data Architect, Data Modeler, or Data Analyst.

•Deep understanding of AWS Cloud Architecture and infrastructure.

•Proficiency in AWS tools: Glue, Data Brew, Lambda, S3, DynamoDB, RDS, Athena, Redshift, and DMS.

•Expertise in data management principles, data governance, and master data management.

•Strong skills in operational and analytical data modeling.

•Hands-on experience with NoSQL, relational MDM data modeling, and Collibra.

•Excellent communication skills and attention to detail.

•Skilled in prioritization and multi-tasking.

Preferred Qualifications

•Experience with mainframe technologies, including COBOL, Db2, IMS DB/DC, VSAM, and JCL.

•Knowledge of working within federal, state, or local government environments.

Location:  Trenton, New Jersey

Education:  Bachelors Degree

Job Summary We are seeking an Enterprise Data Architect to lead the design and implementation of NJDOL's data management framework. This role involves developing a comprehensive data strategy, creating data pipelines, ensuring data accuracy, and improving data accessibility across the enterprise. The ideal candidate will have extensive expertise in AWS services, data governance, data modeling, and master data management. The candidate should have strong communication skills to act as a bridge between business operations and IT. Key Responsibilities •Conduct assessments of current data systems and establish a system of record and data dictionary. •Design and maintain enterprise architecture, including conceptual, logical, and physical models. •Facilitate business sessions to validate taxonomy and use cases. •Provide design solutions for core data models and new data structures. •Create and automate data pipelines using AWS services. •Define and optimize data models to enhance query performance and foster secure data environments. •Coordinate with the EDL team and assist in promoting database objects across environments. •Lead design reviews and recommend reusable data models. •Collaborate with database administrators, ETL developers, and other stakeholders for effective data utilization. •Mentor team members in data modeling best practices and methodologies. Required Qualifications •15+ years of experience as a Data Architect, Data Modeler, or Data Analyst. •Deep understanding of AWS Cloud Architecture and infrastructure. •Proficiency in AWS tools: Glue, Data Brew, Lambda, S3, DynamoDB, RDS, Athena, Redshift, and DMS. •Expertise in data management principles, data governance, and master data management. •Strong skills in operational and analytical data modeling. •Hands-on experience with NoSQL, relational MDM data modeling, and Collibra. •Excellent communication skills and attention to detail. •Skilled in prioritization and multi-tasking. Preferred Qualifications •Experience with mainframe technologies, including COBOL, Db2, IMS DB/DC, VSAM, and JCL. •Knowledge of working within federal, state, or local government environments. Location: Trenton, New Jersey Education: Bachelors Degree

Overview

Position Overview   :

The EnterpriseDataArchitect will play a critical role in shaping and driving the strategic direction of theenterprise widedata architecture(including the BI, reporting, AI/ML, andDatalakehousestrategy)forHealthEdge. This role willbe responsible fordefining the overall data architecture vision and strategy that aligns with business goals and industry best practices. The EnterpriseDataArchitect will ensure the scalability, security, and accessibility of data across systems, while supporting innovative analytics and AI capabilities in a highly regulated healthcare environment.

Your Impact:

Data Architecture Strategy: Develop andmaintainthe enterprise data architecture strategy, ensuring alignment with the organization’s long-termobjectives, including supporting AI-driven initiatives.

Data Governance & Compliance: Implement robust data governance practices to ensure data quality, integrity, and compliance with industry standards (e.g., HIPAA, GDPR).

Data Integration & Interoperability: Design and oversee data integration architectures and strategies, including ETL processes, data pipelines, and APIs thatfacilitateseamless exchange of healthcare data across systems and partners.

Technology Leadership: Work closely with IT, development teams, and product management to ensure the integration of scalable data technologies that meet evolving business needs.

Cloud Data Solutions: Design cloud-based data solutions,leveragingplatforms such as AWS, Azure, or GCP, to ensure data scalability, security, and high availability.

Analytics Enablement: Architect data models that enable advanced analytics, business intelligence, and machine learning solutions to deliver actionable insights to healthcare providers and patients.

Security: Ensure that all data solutions are architected with a focus on security, privacy, and regulatory compliance, especially as it relates to sensitive healthcare information.

Collaboration: Partner with cross-functional teams including software engineering, product management, security, and data science to design and implement data strategies that drive business outcomes.

Innovation: Stay current on emerging technologies and industry trends in data management and healthcare to recommend new tools and methodologies that enhance the company's data architecture.

What You Bring:

Bachelor’s degree in Computer Science, Information Systems, or related field;Master’sdegree preferred.

10+ years of experience in data architecture or enterprise architecture roles, preferably within healthcare or SaaS industries.

Expertisein designing and implementing large-scale data architectures, including relational and non-relational databases (e.g., SQL, NoSQL).

Strong experience with cloud platforms (AWS, Azure, GCP) and modern data architectures (e.g., data lakes, data warehouses, data meshes).

In-depth knowledge of healthcare data standards (HL7, FHIR, ICD, etc.) and regulatory requirements (HIPAA, GDPR).

Proven experience in designing and implementing data governance frameworks.

Familiarity with AI/ML models, data analytics tools, and BI platforms (e.g., Tableau, Power BI).

Strong understanding of security frameworks and practices for healthcare data (e.g., encryption, secure access control).

Excellent communication and stakeholder management skills, witha track recordof influencing leadership and technical teams.

Bonus Points:

Experience with healthcare interoperability protocols.

Hands-on experience with data modeling tools and ETL platforms.

Understanding of microservices and service-oriented architectures in a healthcare SaaS environment.

HealthEdge   commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace.   We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers.

Geographic Responsibility:  WhileHealthEdgeislocatedinBurlington, MA you may live anywhere in the US

Type of Employment:  Full-time, permanent

Work Environment:  The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:

The employeeis occasionally required tomove around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

Work across multiple time zones in a hybrid or remote work environment.

Long periodsof time sitting and/or standing in front of a computer using video technology.

May require travel dependent on company needs.

The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills   required   .   HealthEdge   reserves the right to   modify   , add, or remove duties and to assign other   duties   as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may   be required   to go through a pre-employment criminal background check.

HealthEdge   is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women,   veterans   and persons with disabilities.

#LI-Remote

Job Locations   US-Remote

ID   2024-4887

Category   Hidden (29003)

Position Type   Full-Time

HealthEdge provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Data Architect Jobs in Trenton, NJ

Data Architect
December 10, 2024

Data Architect Role
December 10, 2024

Senior Data Architect
December 10, 2024

Data Architect Life Sciences Sector Manager Consulting Location Open
December 7, 2024

Enterprise Aws Data Architect Mostly Remote Need To Come Into The Office For Meetings
December 6, 2024

Enterprise Data Architect
November 29, 2024

Enterprise Data Architect
November 28, 2024

Data Architect
November 24, 2024

Quick filters

Top companies

Data Architect Jobs in Trenton, NJ

Data ArchitectDecember 10, 2024

Data Architect RoleDecember 10, 2024

Senior Data ArchitectDecember 10, 2024

Data Architect Life Sciences Sector Manager Consulting Location OpenDecember 7, 2024

Enterprise Aws Data Architect Mostly Remote Need To Come Into The Office For MeetingsDecember 6, 2024

Enterprise Data ArchitectNovember 29, 2024

Enterprise Data ArchitectNovember 28, 2024

Data ArchitectNovember 24, 2024