Team Lead – Data Warehouse & Decision Support

ISN•Dallas, TX

13d•Onsite

About 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.

Requirements

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

Responsibilities

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

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)
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