Data Engineering Manager

Data Engineering Manager

Insight Global is looking for a local Data Engineering Manager for a top financial services client in the Des Moines area. This Manager will lead a team of five Data Engineers. They will oversee the team's product roadmap while working closely with the Product Owner and leadership team. They will be in meetings understanding the upcoming work and what is currently in flight. This person will need to have experience leading a team and overseeing direct reports. They will need to have an understanding of the technology in place and have a product focused mindset. This leader will be responsible for data solutions and supporting multiple business units in modernizing current existing data architecture. The annual salary for this role is between $135,000-$150,000 / yr depending on experience. 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.

Skills and Requirements :

• Previous leadership experience
• Understanding of how Snowflake, Databricks, or other SQL-based data warehouses are used
• Worked in a product-focused team rather than project-focused
• Cloud architecture knowledge
• Experience with data modeling, ETL patterns and CI / CD (Kafka, Kinesis, etc)
• Financial or insurance industry experience
• Understanding of data quality frameworks and governance practices