Director, IT Data Engineering (VA)
Vienna, VA, 22182
Reference ID: 31939881
Date Posted: 04/20/2026
Apply now: Director, IT Data Engineering, location is Hybrid (Vienna, VA). The start date is March 2026 for this permanent position.
Job Title: Director, IT Data Engineering
Location-Type: Hybrid (2 Days A Week On-Site - Vienna, VA 22182)
Start Date Is: March 2026
Duration: Permanent/Direct Hire
Annual Base Salary Range: $220k - $240k ( 20% STI bonus)
Benefits: Medical, Dental, Vision, 401k, PTO
Not eligible for visa sponsorship
Job Description:
The Director, IT Data Engineering will lead the enterprise data engineering function, driving strategy, architecture, and execution of scalable data platforms that enable advanced analytics, AI/ML initiatives, and business intelligence across the organization.
Day-to-Day Responsibilities:
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Execute the enterprise data engineering roadmap aligned to business objectives.
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Oversee design, development, and support of enterprise-scale data pipelines, data warehouses, and lakehouses across Azure and AWS environments.
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Provide 60% hands-on leadership in production support and operational data solutions; 40% team leadership and strategy.
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Lead incident management, operational excellence, and performance optimization efforts.
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Partner with BI, Analytics, Data Science, Product, IT, and business leaders to translate requirements into scalable data solutions.
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Establish and enforce best practices in data modeling, ETL/ELT, orchestration, metadata management, data quality, and observability.
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Lead Customer Data Platform (CDP) architecture and integration to enable unified customer profiles and real-time activation.
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Drive AI/ML enablement and establish MLOps best practices for model deployment and monitoring.
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Manage and prioritize work for a blended team of onshore and offshore data engineers.
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Mentor and develop a high-performing data engineering team.
Requirements:
Must-Have Skills/Experiences:
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8 years of experience in data warehousing and ETL development (MS SSIS, Azure Data Factory, or similar).
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6 years of advanced SQL development (queries, stored procedures, views, triggers, performance tuning).
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3 years of experience leading and managing data engineering teams.
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3 years of experience with reporting/visualization tools (SSRS, Power BI, Tableau).
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Hands-on experience within a Microsoft data ecosystem (SQL Server, Azure SQL, ADF, Power BI, Fabric).
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Experience leading AI-focused engineering initiatives or managing AI/ML teams.
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Strong understanding of data governance, security, compliance, and enterprise data standards.
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Ability to operate strategically while remaining hands-on in technical execution.
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Excellent communication skills with both technical and business stakeholders.
Nice-to-Have Skills/Experiences (NOT required, but a plus!) :
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Prior Director-level leadership experience.
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Experience in healthcare or retail environments.
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Experience in consulting or product-based software environments.
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Experience implementing data lineage, observability, and metadata frameworks.
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Familiarity with MLOps tools (MLflow, SageMaker, Kubeflow).
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Experience leading multi-cloud (Azure AWS) data environments.
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