Engineering Manager, Data Engineering

About This Role: 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 champion data integrity and technical excellence while leading a world-class team during this period of deliberate expansion. What You'll Do: Empower a Talented Team: Lead, manage, and mentor a group of data engineers, fostering their career development and championing a culture of technical excellence. Architect Resilient Infrastructure: Own the design and development of data pipelines and systems to ensure they are prepared for company-wide expansion. Champion Data Trust: Act as a relentless advocate for data quality by implementing the system controls and SLAs necessary for flawless production processes. Collaborate Strategically: Partner cross-functionally with Data Science and Product managers to translate complex business needs into efficient, well-documented data models. Maintain Technical Excellence: Perform high-impact code reviews and provide critical guidance to optimize ETL pipelines and schema performance. Balance Leadership with Craft: Contribute directly to development work and troubleshooting alongside your team when the mission requires it. Drive Data Accessibility: Ensure data is a true business enabler by making it reliable and easily accessible for stakeholders across the company. Who You Are: 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. #J-18808-Ljbffr