DW/BI Architect (Remote)

Govcio LLC

10d•$160,000 - $164,000•Remote

About The Position

GovCIO is looking for a highly skilled and experienced Senior Data Engineer / Data Architect to join our team. In this role, you will be responsible for architecting and developing enterprise data models, metadata governance frameworks, ETL pipelines, and analytics platforms to support data governance, performance measurement, and business intelligence solutions for VA client. Your expertise in data modeling, ETL development, cloud data services, and metadata-driven architecture will be critical to the success of federal data platforms and analytics systems. This position will be a fully remote within the United States.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field with 15+ years (or commensurate experience)
10+ years of experience in SQL Server database development, data architecture, and ETL design.
8+ years of experience in data warehouse architecture, metadata governance, and analytics platforms.
Deep hands-on experience with SQL Server 2019-2022 Enterprise (on-prem), SSIS, T-SQL, and relational database design.
Cloud experience with Azure or AWS platforms.
Proficiency in Azure Data Factory, Databricks, Synapse Analytics, and hybrid cloud integration for modernizing ETL pipelines.
Experience with Azure DevOps for version control, CI/CD pipeline automation, and release management.
Experience with additional RDBMS platforms including Oracle, PostgreSQL, MySQL.
Power Platform experience integrating Power BI, PowerApps, and Power Automate into enterprise reporting and data governance solutions.
SharePoint Online experience supporting integrated metadata governance processes.
Knowledge of metadata-driven design patterns, audit trail frameworks, and enterprise governance architecture aligned to federal PMO standards.
Strong technical documentation skills, including ERDs, data dictionaries, data flows, and process mapping.
Strong experience in performance tuning, query optimization, and long-running job remediation.
Excellent troubleshooting, problem-solving, and analytical skills across full data pipeline lifecycle.
Familiarity with federal compliance frameworks (ATO, FISMA, NIST 800-53, FedRAMP).
Clearance Required: Suitability/Public Trust

Nice To Haves

Microsoft Fabric platform (Power BI Premium, Data Warehousing, RLS security models).
Additional experience with MongoDB or NoSQL stores.
Python, PowerShell, or other scripting for ETL and automation.
IT security certifications (e.g., CISSP, CISM, GIAC) helpful.
Prior experience working within federal data governance or VA PMO environments.

Responsibilities

Design, build, and maintain relational data models in SQL Server 2019-2022 Enterprise to support metadata governance, request submissions, audit tracking, version control, and production publishing pipelines.
Architect multi-stage relational models for metadata lifecycle management, including intake submissions, staging, review, audit trail snapshots, approval tracking, and final publishing structures.
Develop and maintain SSIS packages and ETL pipelines for metadata ingestion, transformation, validation, auditing, staging, and publishing processes supporting multi-layered data warehouse architectures.
Apply hybrid cloud integration expertise utilizing Azure SQL, Azure Data Factory, Databricks, Synapse Analytics, and Azure Fabric to develop and support scalable data pipelines and platform modernization initiatives.
Collaborate closely with business analysts, Power BI developers, Power Apps developers, and VA stakeholders to gather requirements and translate functional business needs into scalable technical data solutions.
Build Power Platform integrations (Power BI, PowerApps, Power Automate) connecting to SQL Server and cloud data services; implement identity-based row-level filtering using Power Platform user context for submission-level security and role-based access control.
Maintain fully auditable data models including metadata change tracking, approval lineage, governance version control, and compliance documentation to support ATO certification, PMO audit packages, and federal regulatory standards.
Conduct advanced query tuning, stored procedure optimization, index management, query plan evaluation, blocking and deadlock resolution, and performance troubleshooting across large relational data platforms.
Develop and maintain comprehensive technical documentation including data dictionaries, entity-relationship diagrams (ERDs), data flow diagrams, process workflows, swimlane diagrams, system architecture diagrams, metadata catalogs, data lineage models, dependency mappings, and PMO governance documentation packages.
Provide full lifecycle production support including ETL pipeline monitoring, SSIS failure remediation, long-running job resolution, scheduled job support, SQL Server troubleshooting, and incident management across on-premises and hybrid data environments.