Data Architect

HalvikVienna, VA

About The Position

Halvik Corp is seeking a Data Architect with significant BI experience to lead the technical design and execution of a large-scale BI migration at the U.S. Department of Transportation. This program involves migrating thousands of reports and their underlying data structures from Oracle Data Warehouse / OBIEE into a Databricks platform with Tableau as the reporting layer. The Data Architect will be responsible for designing Databricks gold-layer data models for Tableau, architecting the Tableau data source (TDS) layer, defining and maintaining automated and manual conversion processes for legacy report definitions into Tableau workbooks, and resolving complex structural differences between OBIEE and Tableau. A key aspect of this role involves maintaining and enhancing an AI/LLM-generated conversion pipeline. The ideal candidate will possess a blend of data architecture expertise and hands-on BI experience, understanding how data models are consumed by BI tools, how report logic maps through different layers, and how to design data structures for both automated report generation and ad-hoc analysis at scale.

Requirements

  • BS degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or a related discipline.
  • 10+ years of experience in data architecture, including designing dimensional models for analytical and reporting environments.
  • At least 5 years of that experience must include hands-on work with BI tools and reporting platforms, designing data structures to serve BI consumption (Tableau, Power BI, OBIEE or comparable tools).
  • Hands-on proficiency with Databricks.
  • Must be able to write Spark SQL, and design medallion-layer architectures.
  • Expert-level SQL skills.
  • Ability to design repeatable processes, standards, and architectural patterns that enable a team to execute consistently at scale.
  • Effective at communicating architectural decisions and trade-offs to both technical teams and non-technical stakeholders.
  • Effective at working in Agile delivery environments with cross-functional teams.

Nice To Haves

  • Experience with BI platform migrations (OBIEE-to-Tableau, or similar conversions).
  • Experience using AI/LLM tools in a professional workflow - particularly for code generation, metadata analysis, or pipeline automation.
  • Familiarity with OBIEE RPD architecture (physical, logical, presentation layers).
  • Python proficiency for scripting, automation, or metadata analysis.
  • Experience with Tableau APIs
  • Experience working in a federal government IT environment.

Responsibilities

  • Maintain the Databricks gold-layer data models that serve as the foundation for all Tableau data sources and reports, ensuring they support both automated report generation and ad-hoc analytical use.
  • Architect the Tableau data source (TDS) layer, defining how gold-layer tables are surfaced as published data sources, including single-fact and multi-fact structures, join strategies, extract vs. live connection decisions, and performance optimization patterns.
  • Own the repeatable report conversion process, covering both the LLM-assisted path (AI-generated report scaffolds reviewed and refined by BI developers) and the manual path (structured step-by-step procedures), and define quality gates and validation criteria for each path.
  • Resolve the structural differences between OBIEE and Tableau architectures.
  • Collaborate with Data Engineers on ETL pipeline design, ensuring transformation logic produces gold-layer structures optimized for Tableau consumption.
  • Provide architectural direction on Unity Catalog governance, metadata management, and access control.
  • Design validation frameworks, including source-to-target reconciliation queries, fidelity checks, and automated comparison pipelines, that confirm migrated reports faithfully reproduce legacy business logic.
  • Maintain and improve the AI/LLM-assisted conversion pipeline.
  • Analyze legacy OBIEE RPD metadata (physical, logical, and presentation layers) to map source-to-target data lineage, identify technical debt, and inform migration sequencing and rationalization decisions.
  • Provide technical mentorship to Junior BI Developers.
  • Serve as the escalation point for complex data modeling, join logic, and fidelity questions.
  • Contribute to migration playbooks, architectural documentation, knowledge transfer materials, and stakeholder presentations.
  • Participate in Agile ceremonies and sprint-level planning.

Benefits

  • Company-supported medical, dental, vision, life, STD, and LTD insurance
  • Benefits include 11 federal holidays and PTO
  • Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
  • 401(k) with company matching
  • Flexible Spending Accounts for commuter, medical, and dependent care expenses
  • Tuition Assistance
  • Charitable Contribution matching
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