Director, IT Data Engineering

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