Education: Bachelor's degree or related field
Experience: 8+ years
ProSidian Seeks a Data Architect (Lakehouse / Warehousing) | Human Capital Technology Support
The Data Architect (Lakehouse / Warehousing) | Human Capital Technology Support
We seek Data Architect (Lakehouse / Warehousing) | Human Capital Technology Support
Provide services and support as a Data Architect (Lakehouse / Warehousing) [Business Analytics Support: HR Technology Ecosystem, And Enterprise-Wide Decision-Making Capabilities Enhancement] in the Government And Public Services Industry Sector focusing on HC | Human Capital Solutions for clients such as National Science Foundation (NSF | OCHCO / OCIO) | Office of the Chief Human Capital Officer (OCHCO) / Office of the Chief Information Officer (OCIO) Generally Located In Alexandria, VA (Hybrid) and across the Mid Atlantic Region (Of Country/World) Working Hybrid On/Off Client Site.
Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.
HR Tech Modernization: Integration and automation of HR workflows using enterprise software solutions, including ServiceNow and SAP NS2 SuccessFactors. Consultative expertise in determining the most appropriate data system architecture, such as data warehouses, data lakes, and data lake houses. Technical understanding of migrating data from the current data system architecture to the upgraded data system architecture.
Familiarity with FEDRAMP compliant data architecture platform providers such as Databricks and Snowflake is desired.
RESPONSIBILITIES AND DUTIES
Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.
HR Tech Modernization: Integration and automation of HR workflows using enterprise software solutions, including ServiceNow and SAP NS2 SuccessFactors. Consultative expertise in determining the most appropriate data system architecture, such as data warehouses, data lakes, and data lake houses. Technical understanding of migrating data from the current data system architecture to the upgraded data system architecture.
Familiarity with FEDRAMP compliant data architecture platform providers such as Databricks and Snowflake is desired. Data Architect (Lakehouse / Warehousing) Candidates work to facilitate Human Capital Technology Support
Data Architect (Lakehouse / Warehousing) Professionals typically cover HR Tech Modernization Functional Area / Swim Lane / Category Disciplines and serve as Senior lead/architect/manager scope with enterprise influence, independent judgment, and responsibility for cross-functional delivery or strategy.. They Define target-state architecture, design standards, and implementation patterns for HR Tech Modernization; translate mission and user requirements into scalable, secure, compliant solutions and guide technical decisions.
The role(s) are located in the Mid Atlantic Region, at or near Alexandria, VA (Hybrid). Initially identified Work Site Address (Working Hybrid On/Off Client Site: 401 Dulany Street Randolph Building Alexandria, VA 22314
Desired Qualifications For Data Architect (Lakehouse / Warehousing) | Human Capital Technology Support
Bachelor’s degree in computer science, information systems, data engineering, or related field required; advanced degree or cloud/data certifications preferred. 8+ years of experience in data architecture, enterprise data design, and modernization planning, including structured and semi-structured data environments. Experience with federal data constraints and modern cloud data platforms preferred.
Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Human Capital Technology Support
Data architecture, data warehousing, data lakes, Lakehouse design, data modeling, migration planning, metadata strategy, analytics enablement
Role should be familiar with migration and target-state design considerations involving modern platforms such as Databricks and Snowflake in compliance-conscious environments.
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