As the Engineering Manager for our Data Platform, you will be the primary architect of the ecosystem that powers TrueML’s intelligence. We are currently in a phase of purposeful scaling, and we need your leadership to build a rock-solid, high-performing data foundation that bridges the gap between raw infrastructure and actionable insights. Your goal is to champion data integrity and technical excellence while leading a world-class team during this period of deliberate expansion.
- An Experienced Leader: You have 2+ years of hands-on management experience and 5+ years of relevant data engineering expertise, with a track record of growing teams through coaching.
- A Big Data Expert: You have deep familiarity with modern technologies like Snowflake, Airflow, BigQuery, or Redshift, and mastery of both RDBMS and NoSQL databases.
- A Master of the Stack: You possess advanced proficiency in Python or Java and expert-level SQL skills, specifically in scaling schemas and tuning ETL performance.
- A Systems Thinker: You have extensive experience designing data warehouses and workflow systems, including owning SLAs for critical production processes.
- An Elite Communicator: You are a natural bridge-builder who can translate deep technical hurdles into clear, actionable updates for business partners.
- Purpose-Driven: You thrive in environments that value intentional progress and are excited to mature a data ecosystem from the ground up.
- Bonus Skills: You bring experience with Spark, Scala, or Protocol Buffers, or you have navigated the unique regulatory challenges of the FinTech industry.
$111,700 - $148,900 a year
Compensation Disclosure: This information reflects the anticipated base salary range for this position based on current national/regional data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.