This position is classified as hybrid with the expectation to come in office for special events or meetings (approximately once a month or less).
Location: Hybrid – in-office events in St. Louis, MO
Schedule: Full-time with on-call rotation

OVERVIEW:

We’re looking for a Lead Data Engineer to architect and optimize the pipelines and platforms that fuel UniGroup’s growing data ecosystem. In this hands-on leadership role, you’ll guide project delivery, shape our cloud-first data infrastructure, and mentor a small, collaborative team, all while working with tools like Snowflake, Matillion, and DBT.
If you thrive in a fast-paced, agile environment, have a passion for solving complex data problems, and enjoy leading others toward technical excellence, this is a great opportunity to make a measurable impact.

• Lead the design, development, and optimization of scalable data pipelines and models using Snowflake, Matillion, Informatica, Python, and SQL
• Manage and enhance our cloud-based data ecosystem, orchestrating both streaming and batch data flows from systems such as HubSpot, Google Analytics, and legacy databases
• Oversee access control, data governance, and platform reliability to ensure secure and timely data access
• Mentor engineers and guide project execution through technical leadership and knowledge sharing
• Collaborate with stakeholders across the organization to align data priorities and support reporting platforms like ThoughtSpot and Qlik
• Participate in an on-call rotation (every 5–6 weeks) to triage and resolve overnight data pipeline issues
• Promote best practices in data engineering including automation, version control, and performance tuning
• Support modernization efforts by helping transition legacy systems to cloud-based infrastructure and DBT-based transformations

What You Bring:Required:

• 5–7 years of experience deploying production code in a data engineering or application development environment
• Expertise with Snowflake and at least one orchestration tool (Matillion preferred)
• Strong coding experience with Python and SQL
• Familiarity with DataOps tools such as Git and DBT, and cloud environments like AWS
• Ability to translate business needs into scalable technical solutions
• Experience mentoring peers and leading technical initiatives