Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title:  Data Architect

Location(s):  Washington, DC

Description
The Data Architect will spearhead the design and development of a new, high performance enterprise data warehouse for the organization, using industry best practices and data modeling techniques.

Essential Duties:
Collaborate with important stakeholders, including division-based data stewards as well as technical system owners to establish an understanding of the organization's vast processes and data.
Design and implement an efficient and adaptable data model to support data exploration, data science, analytics, and GIS, resulting in insights to inform key business decisions.
Actively participate in process improvement initiatives and in setting best practice standards around Data Architecture, Metadata, Governance, Master Data Management, and Data Quality flows.
Proactively investigate opportunities to increase the value of the data to the business while focusing on projects that improve business processes.
Designs, builds and maintains flexible and scalable data warehouse solutions to support Business Intelligence (BI) and Reporting projects.
Provides expertise in the creation and refinement of agile technical stories for data architecture and development.
Serves as Subject Matter Expert in data warehouse concepts (Kimball, Inmon, star schema, snowflake schemas, and normalized and de-normalized data models).
Helps to develop, implement, and maintain appropriate data governance on the data warehouse and associated metadata for purposes of data quality, integrity, availability, and security.
Proactively monitors and analyzes performance to identify and recommend optimizations.
Coordinates with team members and leads the implementation of Master Data Management, in conjunction with the new data warehouse.
Leads the integration of the data warehouse with a modern, leading business intelligence platform.

Technical Experience:
Bachelor Degree (Master Degree preferred) and relevant technical training and certifications.
Five (5) to Seven (7) years of directly related experience.
One (1) to Two (2) years of business leadership experience.
Five (5) or more years of recent Data Warehouse Architecture experience to build and articulate conceptual, logical and physical dimensional data models and third normal form artifacts.
Five (5) or more years of experience with business intelligence technologies and solutions.
Five (5) or more years of experience leading teams on IT initiatives, particularly those related to big data.
Two (2) or more years of experience with leading data quality tools.

Core Competencies:
Forward Thinking:  The ability to anticipate the implications and consequences of situations and take appropriate action to be prepared for possible contingencies.
Thinks Critically:  The ability to approach one's work analytically by identifying issues/questions, gathering and evaluating data, and creating evidence-based recommendations or solutions.
Embrace Innovation & Change:  The ability to respond positively to change and demonstrate flexibility, and openness to new ways of thinking and doing things.
Communicate Openly & Effectively:  The ability to effectively communicate in multiple modes and in a way that fosters understanding and dialogue, as well as engages with others in a way that demonstrates emotional intelligence.
Performance Focused:  The ability to take ownership for one's own or one's employees' performance, by setting clear goals and expectations, tracking progress against the goals, providing feedback, and addressing performance problems and issues promptly.
Apply Customer Lens:  The ability to provide the best service to customers (internal and external) with the goal of exceeding their expectations while maintaining integrity.
Develop Self & Others:  The ability to identify, learn, and apply new skills or habits as needed to perform successfully on the job.
Foster Collaboration:  The ability to look beyond immediate teams, broaden peer networks, and find ways to partner with internal and external stakeholders to achieve success.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

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<p>Staff Data Architect

We are continuously sourcing for talent while we await anticipated job openings. Candidates who apply to this role understand we may not have an immediate opening and wish to be considered for future opportunities. This is a remote position.

Ad Hoc is a digital services company that helps the federal government better serve people. Our teams use modern, agile methods to meet the needs of our users while closing the gap between consumer expectations and government.

Work on things that matter

Our teams connect Veterans with services designed for their needs, help millions of people access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we're also changing how the government thinks about and uses technology.

Built for a remote life

Ad Hoc is remote-first and remote-always. We've designed our culture, communications, and tools to support a nationwide team. Being remote allows Ad Hoc to bring the best people onto our teams and give them the freedom to create a work environment that fits their lives.

Committed to high expectations and a welcoming culture

Ad Hoc values acceptance, accountability, and humility. We aren't heroes. We leave our egos at the door to learn from our mistakes and improve the process for the next time. We build small, inclusive teams to bring the best of consumer technology to the problems of government.

The Federal Health business unit covers our work with the Centers for Medicare & Medicaid Services, including HealthCare.gov, and Medicare.gov. Our team supports Federal Health in building and improving online public experiences and APIs that are reliable, accessible, and user-centered.

Primary Responsibilities:

Leads strategic and critical data analysis, summarizing findings to provide program recommendations.

Owns overall data strategy and oversees data collection, organization, and storage for program(s).

Identifies business components and translates requirements into functional BI portals and dashboards.

Presents on technical topics effectively, articulating implementation complexity and other costs to inform business decisions.

Responsible for data governance, eliminating gaps and improving data maturity.

Aligns data architecture and standardizes access patterns to make data available to BI tools, apps, and websites.

Oversees and aligns data organization, dictionary standardization, and glossary development with models.

Periodically travels to work with and present to clients, partners, and stakeholders.

Effectively communicates on existing systems, design decisions, past performance, and a major history of the projects that they've been part of for bid-writing, tech demos, and other potentially client-facing communications.

Serves as a mentor for data analysts, scientists, and architects.

Supports data team members with shipping features, providing direction and guidance.

Participates in technical depth interviews with new candidates, evaluates homework assignments.

Basic Qualifications:

PhD in Biosystems Engineering, Computer Science or related scientific field and 8+ years of experience.

Prior ARPA-H, DARPA, or other ARPA-like contracting experience is required.

Experience in machine learning and natural language processing is required.

Preferred Qualifications:

Experience in computational replication is preferred.

Experience in language modeling, statistical or key-phrase extraction, and medical applications is preferred.

Benefits:

Company-subsidized Health, Dental, and Vision Insurance.
Use What You Need Vacation Policy.
401K with employer match.
Paid parental leave after one year of service.

Ad Hoc LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

In support of the Colorado Equal Pay Transparency Act, and others like it across the country, Ad Hoc job descriptions feature the starting range we reasonably expect to pay to candidates who would join our team with little to no need for training on the responsibilities we've outlined above. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and responsibility. The range of starting pay for this role is $110,000 -$130,000.

Job reference: STAFF001726

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<p>Accredited courses from leading Australian universities, TAFEs and colleges
How to Become a Data Architect in Australia: careers in IT Definition of a Data Architect The role of a Data Architect is both dynamic and essential in today’s data-driven world. Data Architects are responsible for designing, creating, and managing an organisation’s data architecture, ensuring that data is stored, processed, and accessed efficiently. They play a pivotal role in shaping how data flows through an organisation, making it a critical position for businesses looking to leverage data for strategic decision-making. With the increasing importance of data in various sectors, a career as a Data Architect offers exciting opportunities for growth and innovation.
In their day-to-day responsibilities, Data Architects collaborate with stakeholders to understand data requirements and translate them into effective data models. They design databases and data warehouses, ensuring that they are scalable and secure. This involves selecting appropriate technologies and tools, as well as defining data standards and governance policies. Additionally, Data Architects often work closely with data engineers and analysts to implement data solutions that meet the organisation’s needs, making their role integral to the success of data initiatives.
Common tasks for Data Architects include conducting data analysis to identify trends and patterns, developing data integration strategies, and ensuring data quality and integrity. They also play a key role in optimising data storage and retrieval processes, which can significantly enhance an organisation’s operational efficiency. As technology evolves, Data Architects must stay abreast of emerging trends and tools, continuously adapting their strategies to harness the full potential of data.
Overall, a career as a Data Architect is not only rewarding but also offers the chance to be at the forefront of technological advancements. With the growing demand for data professionals, those in this field can expect a fulfilling career path that combines creativity, technical expertise, and strategic thinking. As organisations increasingly rely on data to drive their operations, the role of the Data Architect will continue to be vital in shaping the future of business intelligence and analytics.
What does a Data Architect do? A Data Architect plays a crucial role in the design and management of an organisation’s data infrastructure. They are responsible for creating blueprints that outline how data will be stored, accessed, and integrated across various systems. This position requires a blend of technical expertise and strategic thinking, as Data Architects must ensure that data solutions align with business goals while also adhering to best practices in data management and security. Their work is essential for enabling data-driven decision-making within an organisation.
Design Data Models – Create and maintain data models that define how data is structured and accessed within the organisation.
Develop Data Architecture – Establish the overall data architecture strategy, including data storage, integration, and management solutions.
Collaborate with Stakeholders – Work closely with business stakeholders to understand their data needs and translate them into technical requirements.
Implement Data Governance – Develop and enforce data governance policies to ensure data quality, security, and compliance.
Evaluate Data Technologies – Research and assess new data technologies and tools to enhance data management capabilities.
Monitor Data Performance – Continuously monitor data systems for performance issues and implement improvements as necessary.
Document Data Processes – Create comprehensive documentation of data architecture, processes, and standards for reference and training.
Lead Data Integration Projects – Oversee data integration projects to ensure seamless data flow between systems and applications.
Provide Technical Guidance – Offer technical support and guidance to data engineers and analysts in implementing data solutions.
Stay Updated on Trends – Keep abreast of industry trends and advancements in data architecture and management practices.
What skills do I need to be a Data Architect? A career as a Data Architect requires a robust set of skills that blend technical expertise with strategic thinking. Proficiency in database management systems, data modelling, and data warehousing is essential, as these professionals are responsible for designing and maintaining an organisation’s data architecture. Additionally, familiarity with programming languages such as SQL and experience with big data technologies like Apache Hadoop are increasingly important in this evolving field. Data Architects must also possess strong analytical skills to interpret complex data sets and make informed decisions that align with business objectives.
Beyond technical skills, effective communication and collaboration are crucial for Data Architects, as they often work closely with stakeholders across various departments. They must be able to translate technical concepts into understandable terms for non-technical audiences, ensuring that data strategies align with organisational goals. Furthermore, a forward-thinking mindset is vital, as Data Architects must stay abreast of emerging technologies and trends to innovate and enhance data solutions. This combination of technical prowess and interpersonal skills positions Data Architects as key players in driving data-driven decision-making within their organisations.
Skills/attributes Strong understanding of data architecture principles
Proficiency in database management systems
Experience with data modelling and design
Knowledge of data warehousing concepts
Familiarity with big data technologies
Ability to analyse and interpret complex data sets
Strong problem-solving skills
Excellent communication and collaboration abilities
Attention to detail and a commitment to quality
Understanding of data governance and compliance
Ability to work with cross-functional teams
Adaptability to new technologies and methodologies
Experience with cloud-based data solutions
Knowledge of programming languages such as SQL, Python, or R
Does this sound like you?
Career Snapshot for a Data Architect The career of a Data Architect is both dynamic and rewarding, involving the planning and design of data systems and structures. Data Architects play a crucial role in shaping the data infrastructure, ensuring that designs meet both performance and functional requirements.
Average Age: 40 years
Gender Distribution: 34% female
Hours Worked: Average of 44 hours per week, with 81% working full-time
Employment: Approximately 19,300 people are employed as Data Architects in Australia
Projected Growth: Annual employment growth is currently not specified, but the demand for skilled professionals in this field remains strong
Unemployment Rate: The unemployment rate for Data Architects is relatively low, reflecting the ongoing need for their expertise in various sectors
IT Career resources NATIONAL
Data Architecture / Management / Security | Department of Finance
How to become a Data Architect – Salary, Qualifications, Skills …
What Is a Data Architect? | Indeed.com
QLD
Data Architect – Brisbane, Queensland, Australia – LinkedIn
VIC
Enterprise Data Architect – Richmond, VIC – Australia Post
WA
Data Architect – Jobs WA
SA
Data Architect Jobs in Gomersal SA 5352 – Aug 2024 | SEEK
NT
Data Architect | Government Jobs
ACT
Data Architect | IT Alliance Australia
TAS
Data Architect Jobs in Oakdowns TAS 7019 – Jul 2024 | SEEK

#J-18808-Ljbffr</p>

Accredited courses from leading Australian universities, TAFEs and colleges
How to Become a Data Architect in Australia: careers in IT  Definition of a Data Architect  The role of a Data Architect is both dynamic and essential in today’s data-driven world. Data Architects are responsible for designing, creating, and managing an organisation’s data architecture, ensuring that data is stored, processed, and accessed efficiently. They play a pivotal role in shaping how data flows through an organisation, making it a critical position for businesses looking to leverage data for strategic decision-making. With the increasing importance of data in various sectors, a career as a Data Architect offers exciting opportunities for growth and innovation.
In their day-to-day responsibilities, Data Architects collaborate with stakeholders to understand data requirements and translate them into effective data models. They design databases and data warehouses, ensuring that they are scalable and secure. This involves selecting appropriate technologies and tools, as well as defining data standards and governance policies. Additionally, Data Architects often work closely with data engineers and analysts to implement data solutions that meet the organisation’s needs, making their role integral to the success of data initiatives.
Common tasks for Data Architects include conducting data analysis to identify trends and patterns, developing data integration strategies, and ensuring data quality and integrity. They also play a key role in optimising data storage and retrieval processes, which can significantly enhance an organisation’s operational efficiency. As technology evolves, Data Architects must stay abreast of emerging trends and tools, continuously adapting their strategies to harness the full potential of data.
Overall, a career as a Data Architect is not only rewarding but also offers the chance to be at the forefront of technological advancements. With the growing demand for data professionals, those in this field can expect a fulfilling career path that combines creativity, technical expertise, and strategic thinking. As organisations increasingly rely on data to drive their operations, the role of the Data Architect will continue to be vital in shaping the future of business intelligence and analytics.
What does a Data Architect do?  A Data Architect plays a crucial role in the design and management of an organisation’s data infrastructure. They are responsible for creating blueprints that outline how data will be stored, accessed, and integrated across various systems. This position requires a blend of technical expertise and strategic thinking, as Data Architects must ensure that data solutions align with business goals while also adhering to best practices in data management and security. Their work is essential for enabling data-driven decision-making within an organisation.
Design Data Models – Create and maintain data models that define how data is structured and accessed within the organisation.
Develop Data Architecture – Establish the overall data architecture strategy, including data storage, integration, and management solutions.
Collaborate with Stakeholders – Work closely with business stakeholders to understand their data needs and translate them into technical requirements.
Implement Data Governance – Develop and enforce data governance policies to ensure data quality, security, and compliance.
Evaluate Data Technologies – Research and assess new data technologies and tools to enhance data management capabilities.
Monitor Data Performance – Continuously monitor data systems for performance issues and implement improvements as necessary.
Document Data Processes – Create comprehensive documentation of data architecture, processes, and standards for reference and training.
Lead Data Integration Projects – Oversee data integration projects to ensure seamless data flow between systems and applications.
Provide Technical Guidance – Offer technical support and guidance to data engineers and analysts in implementing data solutions.
Stay Updated on Trends – Keep abreast of industry trends and advancements in data architecture and management practices.
What skills do I need to be a Data Architect?  A career as a Data Architect requires a robust set of skills that blend technical expertise with strategic thinking. Proficiency in database management systems, data modelling, and data warehousing is essential, as these professionals are responsible for designing and maintaining an organisation’s data architecture. Additionally, familiarity with programming languages such as SQL and experience with big data technologies like Apache Hadoop are increasingly important in this evolving field. Data Architects must also possess strong analytical skills to interpret complex data sets and make informed decisions that align with business objectives.
Beyond technical skills, effective communication and collaboration are crucial for Data Architects, as they often work closely with stakeholders across various departments. They must be able to translate technical concepts into understandable terms for non-technical audiences, ensuring that data strategies align with organisational goals. Furthermore, a forward-thinking mindset is vital, as Data Architects must stay abreast of emerging technologies and trends to innovate and enhance data solutions. This combination of technical prowess and interpersonal skills positions Data Architects as key players in driving data-driven decision-making within their organisations.
Skills/attributes   Strong understanding of data architecture principles
Proficiency in database management systems
Experience with data modelling and design
Knowledge of data warehousing concepts
Familiarity with big data technologies
Ability to analyse and interpret complex data sets
Strong problem-solving skills
Excellent communication and collaboration abilities
Attention to detail and a commitment to quality
Understanding of data governance and compliance
Ability to work with cross-functional teams
Adaptability to new technologies and methodologies
Experience with cloud-based data solutions
Knowledge of programming languages such as SQL, Python, or R
Does this sound like you?
Career Snapshot for a Data Architect  The career of a Data Architect is both dynamic and rewarding, involving the planning and design of data systems and structures. Data Architects play a crucial role in shaping the data infrastructure, ensuring that designs meet both performance and functional requirements.
Average Age:  40 years
Gender Distribution:  34% female
Hours Worked:  Average of 44 hours per week, with 81% working full-time
Employment:  Approximately 19,300 people are employed as Data Architects in Australia
Projected Growth:  Annual employment growth is currently not specified, but the demand for skilled professionals in this field remains strong
Unemployment Rate:  The unemployment rate for Data Architects is relatively low, reflecting the ongoing need for their expertise in various sectors
IT Career resources  NATIONAL
Data Architecture / Management / Security | Department of Finance
How to become a Data Architect – Salary, Qualifications, Skills …
What Is a Data Architect? | Indeed.com
QLD
Data Architect – Brisbane, Queensland, Australia – LinkedIn
VIC
Enterprise Data Architect – Richmond, VIC – Australia Post
WA
Data Architect – Jobs WA
SA
Data Architect Jobs in Gomersal SA 5352 – Aug 2024 | SEEK
NT
Data Architect | Government Jobs
ACT
Data Architect | IT Alliance Australia
TAS
Data Architect Jobs in Oakdowns TAS 7019 – Jul 2024 | SEEK

#J-18808-Ljbffr

<p>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.</p><p>The exceptional EY experience. It's yours to build.</p><p>EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.</p><h3>The opportunity</h3><p>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). This is a high-growth area with plenty of opportunities to enhance your skill set and build your career.</p><h3>Your key responsibilities</h3><p>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.</p><ol><li>Run multiple client engagement teams, working with a variety of clients to navigate the complex world of advanced analytics.</li><li>Provide clients with a unique business perspective on how advanced analytics can transform and improve their organization.</li><li>Foster relationships with client personnel at appropriate levels and consistently deliver quality client services.</li><li>Monitor progress, manage risk, and confirm that key stakeholders are kept informed about progress and expected outcomes.</li><li>Stay abreast of current business and industry trends relevant to the client's business.</li><li>Effectively manage and motivate client engagement teams, providing constructive feedback and coaching.</li><li>Develop and maintain long-term client relationships and networks.</li><li>Partner with information architecture to build logical and physical data models aligned with conceptual data models.</li><li>Develop, organize, and manage clinical trial protocols, including study design 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>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 experience.</li><li>Proven experience as Clinical Trial Developer 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>A minimum of four years’ experience providing consulting services focused on helping clients achieve transformational value through 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><p>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.</p><h3>What we offer</h3><p>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.</p><p>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.</p><p>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.</p><p>EY exists to build a better working world, helping to create long-term value for clients, people and society.</p><p>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.</p><p>For those living in California, please click here for additional information.</p>
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Data Architect Jobs in Olympia, WA

Data Architect
January 1, 2025

Staff Data Architect
January 1, 2025

Data Architect
December 25, 2024

Data Architect
December 24, 2024

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

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Data Architect Jobs in Olympia, WA

Data ArchitectJanuary 1, 2025

Staff Data ArchitectJanuary 1, 2025

Data ArchitectDecember 25, 2024

Data ArchitectDecember 24, 2024

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