Team Lead - Data Warehouse & Decision Support

The Position: The Team Lead - Data Warehouse & Decision Support is responsible for guiding technical direction and overseeing the day-to-day operation, reliability, and continuous improvement of ISN’s data warehousing, ETL environment, and overall data estate. The position requires technical, analytical, and leadership skills with a strong background in data engineering, data modeling, and modern cloud and AI data platforms including Microsoft Fabric and SQL Server. This position is approximately 25% people leadership and 75% hands-on technical work., * Lead the day-to-day operation of the data warehouse, ETL environment, and semantic/reporting layers, ensuring pipelines run reliably, resilience, data is available on schedule, and incidents are resolved quickly

• Design and lead the team’s adoption and operational deployment of Microsoft Fabric, Databricks and SQL Server for data engineering, data pipeline modernization, and lakehouse/warehouse workloads
• Partner with data architecture, Technical Operations, data governance, security, and platform teams to ensure compliance, access controls, and cost management across cloud data environments.
• Write and review complex SQL and pipeline code; act as the final technical reviewer for major data model or pipeline changes
• Evaluate opportunities to apply AI and Large Language Models (LLMs) to data engineering workflows, such as pipeline development, code assistance, testing, and documentation, and guide the team through practical adoption

• 8+ years of data engineering/data warehousing experience in a dynamic, data-rich, and fast-paced environment
• Strong hands-on experience with day-to-day data warehousing and ETL/ELT operations, including monitoring, troubleshooting, and performance tuning of production pipelines
• 3+ years of leadership/project leadership experience
• Strong hands-on expertise with: Microsoft Fabric, SQL, ETL and Python
• Hands-on experience with Databricks & Microsoft Fabric including Lakehouse architecture (Delta tables, OneLake, Apache Spark), Fabric Data Warehouse, and Fabric semantic models for downstream reporting
• Proficiency using Python (including PySpark and notebooks) for data engineering, transformation logic, and automation within Fabric and/or SQL Server

• Employees must be within a commutable distance to the Dallas, TX office. Relocation is required for candidates not already local to the DFW area.
• In-person attendance is required at minimum 2 days per week during the first 90 days of employment.
• After 90-day review, in-person attendance is required at minimum 1 day per month and required for certain meetings and tasks (collaboration with stakeholders and customers, team collaboration day, ISN events, team events, performance reviews, etc.).

ISN Benefits*

• 100% company-paid monthly insurance premiums for employees and dependents

• Medical, Dental, Vision, and Life Insurance

Employee assistance program

4% retirement matching

Long-Term & Short-Term Disability Coverage

Paid time off

• 0-1 year - 15 day (pro-rated first year)
• 1-5 years - 20 days
• 5-10 years - 25 days
• 10+ years - 30 days

Holidays - 13 paid holidays

Monthly cell phone reimbursement

Complimentary parking space or monthly reimbursement for DART public transportation

Team-building activities and events, including quarterly kick-off meetings and community volunteer day

Matching charitable gift program

Professional development & training opportunities

Wellness Program: Focuses on community, financial, mental, nutrition, physical and social health

Business casual, jeans allowed

*All benefits are subject to change with notice to the employee

Our Company: ISN was established in 2001 and is a global leader in contractor and supplier management. We work closely with a variety of household-name clients in the US, Canada, Europe, Australia, Latin America, and the Middle East to connect them with safe and reliable contractors and suppliers and incorporate a level of due diligence in the contractor management process.