Job Description
This individual will be responsible for:
Lead and manage a team of 4–5 data engineers, providing mentorship, technical guidance, and performance support
Partner closely with the Director of AI & Data Engineering, AI Manager, and Data Governance Manager to align data engineering efforts with AI initiatives and governance standards
Balance leadership responsibilities with hands-on technical work, stepping in to support complex engineering challenges as needed
Design, review, and guide development of Azure-based data pipelines, ETL/ELT workflows, and data architectures
Provide oversight and hands-on support for SQL Server administration, query optimization, and performance tuning
Review and influence data modeling and architectural decisions, ensuring scalability, reliability, and long-term maintainability
Collaborate directly with clients and business stakeholders, translating business requirements into technical solutions
Serve as a technical escalation point for data infrastructure, ETL, and production issues
Coordinate with and manage Managed Service Providers (MSPs) as needed (approximately 15–20% of the role at certain times of the year)
Establish and uphold engineering best practices, delivery standards, and operational processes
Ensure data solutions align with governance, privacy, and compliance expectations in partnership with the Data Governance team
Salary Range: 150k-160k
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
7–10 years of hands-on data engineering experience
5–10 years of experience leading and managing technical teams
Deep expertise in Microsoft Azure
Proven experience building enterprise-grade Azure solutions, including:
Azure Data Factory
Azure Synapse Analytics
SQL Server
Azure Data Lake Storage Gen2
Azure Functions and Logic Apps
Advanced SQL skills (rated 8/10 or higher)
Experience with:
ETL / ELT pipelines
SQL Server Database Administration
Data infrastructure and architecture
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.