Manager of Data Engineering

The Manager of Data Engineering sits at a critical intersection of deep technical execution and high-impact client engagement. In this hybrid leadership role, you will manage a talented team of data engineers while serving as a strategic technical liaison for clients during complex migrations, integrations, and system go-lives.

This position offers a unique balance of team mentorship, hands-on architectural oversight, and cutting-edge innovation. You will directly spearhead the adoption of AI agents and LLM-driven workflows to revolutionize modern ETL processes and automate complex data investigations.

• Team Leadership & Mentorship: Manage and mentor a growing team of data engineers, setting clear performance benchmarks and fostering an innovative, collaborative environment.
• Client-Facing Data Strategy: Act as the primary technical liaison for external stakeholders. Audit client data environments, resolve migration or integration bottlenecks, and translate complex client requirements into actionable development roadmaps.
• Strategic Project Management: Oversee the end-to-end planning, scoping, and flawless execution of complex data engineering initiatives across cross-functional departments.
• Hands-on Technical Architecture: Ensure the optimal design, health, and scalability of data pipelines, warehouses, and databases, maintaining the highest standards of data integrity and availability.
• Agentic Workflows & Automation: Lead the integration of advanced AI frameworks and Large Language Models (LLMs) to automate data mapping, extraction, and unstructured data ingestion.

- Bachelor's degree in Computer Science, Information Technology, or a related technical discipline.

- Minimum of 5 years of hands-on data engineering experience, including at least 2 years in a formal leadership, management, or team lead capacity.

- Proven track record in a customer-facing or consultative role with excellent communication skills; highly capable of evaluating client environments and articulating complex data concepts to non-technical stakeholders.

- Robust experience with data modeling, building production-grade ETL/ELT pipelines, and data warehousing.

- Strong expertise with relational database technologies (e.g., SQL Server, PostgreSQL, MySQL) and foundational familiarity with major cloud ecosystems (AWS, Azure, or Google Cloud Platform).

- Hands-on exposure to deploying or orchestrating agentic workflows, LLMs, or automated data extraction/transformation frameworks.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Salary : $150,000