Lead Data Architect at The Celestar Corporation

, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Enterprise Data Architecture, Data Governance Frameworks, Data Modeling, Data Lake Design, Data Warehousing, Knowledge Graphs, Data Engineering, Data Pipelines, Metadata Management, Data Lineage, Data Integration Patterns, Cloud Data Platforms, Data Strategy, Interface Control Documents, Spatial Data Modeling, Executive Briefing

Industry

Defense and Space Manufacturing

Description

Description Lead Data Architect At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team! Job Summary We are seeking a Senior-level Lead Data Architect to design, develop, deploy, and manage the data architectures, data strategies, and data governance frameworks for the U.S. Census Bureau’s Decennial Transformation and Application Modernization (DTAM) effort. This role possesses and applies comprehensive knowledge across key tasks and high-impact assignments, plans and leads major data architecture assignments, and functions as a technical expert across multiple project assignments. The Lead Data Architect translates business needs into long-term data architecture solutions and builds platforms that handle data at varying volumes, varieties, and velocities. May supervise others. Responsibilities Design, develop, deploy, and manage data architectures, data strategies, and data governance frameworks for systems, applications, and databases Build, integrate, and maintain data platforms including data lakes, lake houses, warehouses, marts, hubs, and knowledge graphs Plan, design, develop, implement, and maintain appropriate data structures for operational, graph, transactional, and spatial data Translate business needs into long-term data architecture solutions and evaluate reusability of current data for additional analyses Define and implement conceptual, logical, and physical data modeling concepts, techniques, and tools Develop strategies for data acquisition, archive, and recovery, and incorporate metadata management to optimize access, performance, and cost Enhance and maintain data dictionaries, catalogs, and repositories aligned with enterprise data standards Support data engineering and integration, including data pipelines, integration patterns, and Interface Control Documents Support data quality, data lineage, and data governance activities across service providers Validate the design of all SoS interfaces in accordance with data dictionaries and data lineage work products Collaborate with architects, engineers, and application teams to identify, evaluate, and manage data storage solutions Education and Experience Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field 10–14 years of experience, possessing and applying comprehensive knowledge across key data architecture tasks and high-impact assignments (Senior level) Required Skills Expert experience designing and managing enterprise data architectures and governance frameworks Demonstrated ability to build data lakes, warehouses, marts, hubs, and knowledge graphs at scale Strong conceptual, logical, and physical data modeling skills Experience with data engineering, data pipelines, and data integration patterns Background in data quality, data lineage, metadata management, and data governance Certifications Desired: Big Data certification from AWS / Google / Azure Cloud Database certification Data Analytics certification Desired Skills Experience with large-scale federal statistical or survey data programs Familiarity with near-real-time data processing and high-volume/velocity data solutions Experience with cloud-based data platforms and storage optimization Excellent written and verbal communication skills, including executive briefing to senior Government stakeholders Security Clearance U.S. Citizenship required More About B&A: Notable Clients B&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more. Benefits and Programs B&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life & AD&D, disability, accident, hospital indemnity, and critical illness insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored trainings and certifications, pet insurance benefits, commuter transit benefits and a free subscription to a virtual exercise platform (NEOU). B&A’s 401(k) plan is available to all employees and includes a company matching contribution. B&A has launched several programs to focus on employee engagement, wellness, and assistance. These include: The B&A Cares program: 30/60/90-day wellness check ins, personal development, financial management, and stress management seminars, and more A formal mentorship program Job shadowing and cross training opportunities Brand Ambassador program Employee Assistance Program (EAP) - Access to various support resources to include counseling, legal guidance, financial planning, and more Monthly teambuilding events B&A Annual Wellness Challenges: #StepWithB&A, #WalkDuringLunchWithB&A, #VolunteeringWithB&A, #ExerciseDuringLunchWithB&A, and more At B&A, we place significant importance on improving the communities and lives of citizens across the nation through our involvement, technology expertise, and employees. B&A puts an emphasis on charitable efforts in the Northern Virginia area, including Capital Area Food Bank pantry drives, book donations, Hope for Henry Foundation events, and many more. In recognition of all these efforts, B&A has been named a Companies as Responsive Employers (CARE) award recipient by Northern Virginia Family Services and nominated by the Northern Virginia Chamber of Commerce for Outstanding Corporate Citizenship Award. EEO B&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B&A’s offices, and other workplaces (including client sites) and all other locations where B&A is providing services, and to all work-related activities. EEO is the Law B&A participates in e-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I-9 Form to confirm work authorization.

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Responsibilities

Design and manage data architectures, strategies, and governance frameworks for the U.S. Census Bureau's modernization efforts. Build and maintain scalable data platforms including data lakes, warehouses, and knowledge graphs to translate business needs into technical solutions.