Director, IT Data Engineering

Vienna, VA, 22182

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Type: Direct Placement

Reference ID: 31930149

Date Posted: 03/02/2026



Job Title: Director, IT Data Engineering
Location-Type: Hybrid (Vienna, VA or Raleigh, NC – onsite 2 days/week)
Start Date Is: March
Duration: Permanent
Compensation Range:

  • Raleigh : $193,000 – $215,000 base salary bonus
  • Vienna : $210,000 - $220,000 base salary bonus

Job Description :
Lead enterprise data engineering strategy, architecture, and delivery while overseeing scalable cloud data platforms and enabling advanced analytics and AI initiatives.

Day-to-Day Responsibilities:

  • Execute the enterprise data engineering roadmap aligned to business objectives

  • Oversee design, development, and maintenance of enterprise-scale data pipelines, warehouses, and lakehouses across AWS and Azure

  • Provide 60% hands-on production support and operational oversight

  • Lead and manage onshore and offshore data engineering teams (task oversight and delivery management)

  • Drive incident management, performance optimization, and operational excellence

  • Implement best practices in data modeling, ETL/ELT, orchestration, and API integrations

  • Partner with BI, Data Science, Product, IT, and business leaders to translate requirements into scalable solutions

  • Establish frameworks for data quality, lineage, observability, governance, and security

  • Lead CDP architecture and real-time data integration initiatives

  • Support AI/ML initiatives and implement MLOps best practices

Requirements:

  • Must-Haves:

    • 8 years of experience in data warehousing and ETL development (MS SSIS, Azure Data Factory, or similar)

    • 6 years of advanced SQL development (queries, stored procedures, views, triggers)

    • 3 years leading and managing data engineering teams

    • 3 years of experience with reporting/visualization tools (SSRS, Power BI, Tableau)

    • Experience leading AI/ML teams as a people leader

    • Hands-on expertise in Microsoft data ecosystem (SQL Server, Azure SQL, ADF, Fabric, Power BI, CDP)

    • Experience building and optimizing enterprise-scale cloud data platforms (Azure, AWS)

    • Strong understanding of data governance, security, compliance, and best practices

    • Strategic mindset with the ability to be hands-on when needed

    • Strong communication skills with ability to translate technical concepts to business stakeholders

    • Work authorization: USC or GC

  • Nice-to-Haves:

    • Prior Director-level experience

    • Experience in healthcare or retail environments

    • Consulting or product development background

    • Experience implementing MLOps tools (MLflow, SageMaker, Kubeflow)

    • Experience with real-time CDP integrations and omnichannel data activation


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