Job Title: Data Architect
Location: Norfolk, VA, USA
Description:
Logic Loops is currently seeking a Data Architect to join our team. The data architect will analyze the automation scripts and evaluate their test data dependencies. Based on the complexity of the test data set up, the availability (or non-availability) of sufficient data, the team will determine (POC) the best solution for each script. This solution may include data refresh, data mining, or data seeding.
The data architect shall be responsible for understanding operational data models in client-based systems and will work with other SMEs in the design of an overall data solution for test data management. The architect will coordinate with analysts and application architects to define the structure for how data will be transported and used in QA testing and shared across other applications.
Business defines the need for more accurate data without latency to be available in QA environments that would be used for SIT, UAT, PFT, etc. The data architect will help coordinate POC for each test data management solution and evaluate the pros and cons. In order to do so, the architect needs to understand the mapping between source and target systems. Additionally, it is expected that the bi-directional data feeds (insert, updates, deletes) between systems may be facilitated through integration services. The data architect will work closely with the application implementation and application architects to design a data flow between systems that shall support the front-bridge and back-bridge data transport requirements.
Responsibilities:
<ul>
<li>Gather project data requirements with business analysts.</li>
<li>Determine data migration, application data, and data feed requirements.</li>
<li>Design ETL.</li>
<li>Develop data flow and models to support data feeds, geospatial.</li>
<li>Integration, data migration, and application data dictionary.</li>
<li>Develop data dictionary and classification and publish to metadata with analysts.</li>
<li>Assist in building a library for common terms and definitions in coordination with business analysts.</li>
<li>Collaborate with enterprise architects, analysts, and project management.</li>
</ul>
Qualifications:
<ul>
<li>8+ years working across one or more relevant industries.</li>
<li>Expertise in application data architecture and supporting implementation.</li>
<li>Data migration planning project experience.</li>
<li>Source to target mapping.</li>
<li>3+ years of experience working with ETL/ELT for data migration.</li>
<li>Understanding of enterprise service bus architectures and REST services.</li>
<li>Integration of data using a publish/subscribe model.</li>
<li>3+ years involvement in the design of bi-directional data movement (front bridge/back bridge).</li>
<li>Past or current experience in ETL development using Informatica and/or Microsoft SSIS.</li>
<li>Subject area data modeling for OLTP, normalized models, domains.</li>
<li>Business process knowledge, technical skills, and communication skills.</li>
</ul>
Must-Have Primary Skill: Business Analyst-Data Analysis
#J-18808-Ljbffr

Center 1 (19052), United States of America, McLean, Virginia

Distinguished Engineer, Risk Management Data Architect

Capital One is looking for a Distinguished Engineer with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of a high performance data ecosystem that supports real-time, intelligent experiences to enable our Risk Management functions. In this role, you will help shape the Risk Management Data domains that will drive our journey towards standardized data assets and data products.

Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.

This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities.

Key Responsibilities:
Define and Implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and to ensure high quality data for gaining insights / downstream consumptions

Lead the creation of data models and ontologies to standardize data definitions, relationships and semantics across systems

Collaborate with extended teams and stakeholders to establish data standards, metadata management practices and data quality frameworks

Design scalable architectures that integrate various data sources, systems, and platforms while minimizing duplication

Partner with engineering, data analysis, data science and business teams to align data solutions with business needs. Mentor technical teams in data architecture best practices

Develop comprehensive architectural documentation and communicate data architecture principles to both technical and non-technical stakeholders

Conduct exploratory data analysis to elucidate deficiencies and opportunities with tangible evidence

Partner with other Distinguished Engineers across the enterprise to identify and foster investments in shared data services and platforms

Engage with senior business product leads to understand the business strategy, value propositions, relative priorities and criteria for success.

What skills do you need to have:
Hands on experience with AWS Cloud data technologies including RDS, DynamoDB, S3 and Glue ETL

Experience designing and implementing event based stream processing solutions using technologies such as Kafka, Kinesis, Spark and Flink

Ability to design and implement high availability, multi-region data replication for mission critical applications

Experience designing and implementing data management solutions that enable Data Quality, Reference Data Management, and Metadata Management.

A track record of designing and implementing end-to-end data pipelines supporting both production and analytic use cases

Comfortable coding with Python or Scala and proficient in SQL

In-depth understanding of AVRO, Parquet and DeltaLake data formats

Background using multiple data storage technologies including relational, document, key/value, graph and object stores

Demonstrated ability to partner with internal product and intent owners to help define requirements and outcomes for data-focused initiatives

Ability to decompose large problems and execute smaller, manageable bodies of work to demonstrate continuous architecture delivery

Understanding of machine learning and AI data infrastructure needs

Basic Qualifications:
Bachelor’s degree

At least 7 years of experience in Data Architecture and Data Engineering

At least 7 years of Data modeling and platform design

At least 2 years of experience in cloud computing (building applications in AWS )

Preferred Qualifications:
Bachelor's or Master's Degree in Computer Science or a related field

At least 2 years of experience with ontology standards for defining a domain

At least 2 years of experience using Python, SQL or Scala

At least 1 year of experience deploying machine learning models

Experience implementing knowledge graphs

Familiarity with Industry standards related to Data

Experience with data mesh, data lakehouse architectures and real-time data pipelines

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the

Capital One Careers website

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please.

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at

RecruitingAccommodation@capitalone.com

. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Center 1 (19052), United States of America, McLean, Virginia Distinguished Engineer, Risk Management Data Architect Capital One is looking for a Distinguished Engineer with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of a high performance data ecosystem that supports real-time, intelligent experiences to enable our Risk Management functions. In this role, you will help shape the Risk Management Data domains that will drive our journey towards standardized data assets and data products. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. Key Responsibilities: Define and Implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and to ensure high quality data for gaining insights / downstream consumptions Lead the creation of data models and ontologies to standardize data definitions, relationships and semantics across systems Collaborate with extended teams and stakeholders to establish data standards, metadata management practices and data quality frameworks Design scalable architectures that integrate various data sources, systems, and platforms while minimizing duplication Partner with engineering, data analysis, data science and business teams to align data solutions with business needs. Mentor technical teams in data architecture best practices Develop comprehensive architectural documentation and communicate data architecture principles to both technical and non-technical stakeholders Conduct exploratory data analysis to elucidate deficiencies and opportunities with tangible evidence Partner with other Distinguished Engineers across the enterprise to identify and foster investments in shared data services and platforms Engage with senior business product leads to understand the business strategy, value propositions, relative priorities and criteria for success. What skills do you need to have: Hands on experience with AWS Cloud data technologies including RDS, DynamoDB, S3 and Glue ETL Experience designing and implementing event based stream processing solutions using technologies such as Kafka, Kinesis, Spark and Flink Ability to design and implement high availability, multi-region data replication for mission critical applications Experience designing and implementing data management solutions that enable Data Quality, Reference Data Management, and Metadata Management. A track record of designing and implementing end-to-end data pipelines supporting both production and analytic use cases Comfortable coding with Python or Scala and proficient in SQL In-depth understanding of AVRO, Parquet and DeltaLake data formats Background using multiple data storage technologies including relational, document, key/value, graph and object stores Demonstrated ability to partner with internal product and intent owners to help define requirements and outcomes for data-focused initiatives Ability to decompose large problems and execute smaller, manageable bodies of work to demonstrate continuous architecture delivery Understanding of machine learning and AI data infrastructure needs Basic Qualifications: Bachelor’s degree At least 7 years of experience in Data Architecture and Data Engineering At least 7 years of Data modeling and platform design At least 2 years of experience in cloud computing (building applications in AWS ) Preferred Qualifications: Bachelor's or Master's Degree in Computer Science or a related field At least 2 years of experience with ontology standards for defining a domain At least 2 years of experience using Python, SQL or Scala At least 1 year of experience deploying machine learning models Experience implementing knowledge graphs Familiarity with Industry standards related to Data Experience with data mesh, data lakehouse architectures and real-time data pipelines Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodationcapitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careerscapitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Our not-so-secret sauce.

Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 11,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Data Architect Manager at Marsh McLennan Agency (MMA).

MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC).
A day in the life.

As our Data Architect Manager, you’ll provide thought leadership and participate in projects involving upstream and downstream data flows and processes. You will oversee the implementation of strategies designed to enhance data reliability and minimize redundancies while championing organizational behavior change related to data management. Collaborating with multiple stakeholders, you’ll develop end-to-end solutions for data sourcing, processing, integration, and delivery.
Our future colleague.

We’d love to meet you if your professional track record includes these skills:
•    Minimum of 15 years of applicable experience with 10+ years of specific IT experience in managing solution designs.
•    5+ years of hands-on experience in lead roles architecting solutions at scale for cloud data platforms
•    5 to 7 years of experience in Cloud database technologies.
•    Hands-on experience architecting and building secure, scalable, and flexible enterprise data projects in Microsoft Azure.
•    Experience with a breadth of Data Platforms, Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms, and Data Streaming technologies.
•    Strong understanding of modern Data Architectures and the ability to understand Data in the context of Business goals.
•    Experience in architecting and building cloud-based analytical data platforms (like Data Lakes, Lake Houses, Data Warehouses, etc.).
•    Experience with data integration services such as Azure Data Factory.
•    Proficiency in the design of batch and streaming data ingestion.
•    Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations.
These additional qualifications are a plus, but not required to apply:
- Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point is a major plus.
- Knowledge of Informatica – IICS task flows development and maintenance.
- Data bricks experience and certification.
- Microsoft Azure Data Engineer or other cloud certifications.
- Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database.
- Experience with business intelligence tools; Power BI or Qlik is preferred.
We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.
Valuable benefits.

We value and respect the impact our colleagues make every day both inside and outside our organization. We’ve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work.

Some benefits included in this role are:
•    Generous time off, including personal and volunteering
•    Tuition reimbursement and professional development opportunities
•    Remote work
•    Charitable contribution match programs
•    Stock purchase opportunities
To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw

Follow us on social media to meet our colleagues and see what makes us tick:
•    https://www.instagram.com/lifeatmma/
•    https://www.facebook.com/LifeatMMA
•    https://twitter.com/marsh_mma
•    https://www.linkedin.com/company/marsh-mclennan-agency/
The applicable base salary range for this role is $137,600 to $206,500. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.
We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings, and other wellbeing programs as well as employee assistance programs.
Applications will be accepted until: 1/1/2025
Who you are is who we are.

We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

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Data Architect Jobs in Norfolk, VA

Data ArchitectDecember 11, 2024

Distinguished Engineer Risk Management Data ArchitectDecember 10, 2024

Distinguished Engineer Risk Management Data ArchitectDecember 9, 2024