Data Architect

Halvik

Vienna (VA)

On-site

USD 140,000 - 190,000

Full time

12 days ago

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Benefits offered by this job

Full benefits package
401(k) with company matching
11 federal holidays and PTO
Tuition Assistance

Job summary

Halvik Corp in Vienna, VA seeks a Data Architect with extensive BI experience to lead a large-scale migration from Oracle/OBIEE to Databricks with Tableau. You will design gold-layer data models for Tableau, surface gold data sources, and define automated and manual conversion workflows, including AI-assisted scaffolds and validation gates for fidelity.

The role requires strong SQL, Databricks, and BI tooling skills, plus mentoring junior developers and contributing to migration playbooks in an

Qualifications

  • BS degree in Computer Science, Data Analytics, Information Systems, or related field.
  • 10+ years of data architecture experience with analytical/data environments.
  • Minimum 5+ years building BI data structures for Tableau/Power BI/OBIEE.
  • Hands-on Databricks experience; Spark SQL proficiency.
  • Expert-level SQL skills and scalable design patterns.
  • Strong communication and Agile teamwork.

Responsibilities

  • Maintain Databricks gold-layer data models for Tableau sources and reports.
  • Architect the Tableau data source layer with single/multi-fact structures and performance patterns.
  • Own the repeatable report conversion process including AI-assisted paths and manual steps.
  • Resolve OBIEE and Tableau architectural differences.
  • Collaborate with Data Engineers on ETL and Unity Catalog governance.
  • Build validation frameworks for source-to-target fidelity and automated comparisons.
  • Maintain and improve the AI/LLM-assisted conversion pipeline.
  • Mentor Junior BI Developers; contribute to migration playbooks and docs.
  • Participate in Agile ceremonies and sprint planning.

Skills

Databricks
Tableau
SQL
Spark SQL
Python
BI Architecture

Education

BS in Computer Science or related

Tools

Databricks
Tableau
OBIEE
Python

Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!

Position Overview

Halvik 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 is 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 design the Databricks gold-layer data models that serve Tableau, architect the Tableau data source (TDS) layer, define and maintain the automated and manual conversion processes that transform legacy report definitions into Tableau workbooks, and resolve the complex structural differences between OBIEE and Tableau (multi-fact decomposition, join strategies, naming authority). A significant part of the conversion pipeline leverages AI/LLM-generated outputs, and the Data Architect will maintain and enhance that pipeline to support the conversion goals.

The ideal candidate combines data architecture expertise with substantial hands-on BI experience. The Data Architect must understand how data models are consumed by BI tools, how report logic maps through presentation and logical layers, and how to design data structures that support both automated report generation and ad-hoc analysis at scale.

Core Responsibilities
  • Maintain the Databricks gold-layer data models that serve as the foundation for all Tableau data sources and reports. Ensure models 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). 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.
Minimum 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.
Preferred Expertise
  • 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.

Privacy Policy – Halvik Corp

Halvik Offers a Competitive Full Benefits Package Including

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

Halvik Corp 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, disability or veteran status.

Halvik\'s pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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