Engineering Manager Data Platform

### Why TrueML? TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. We leverage machine learning to engage customers digitally and adjust strategies in real time based on their interactions. ### 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 in a phase of purposeful scaling, and we need your leadership to build a high-performing data foundation that bridges the gap between raw infrastructure and actionable insights. ### 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:** Advocate for data quality by implementing system controls and SLAs necessary for flawless production processes. - **Collaborate Strategically:** Partner 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 needed. - **Drive Data Accessibility:** Ensure data is reliable and easily accessible for stakeholders across the company. ### Who You Are: - **An Experienced Leader:** 2+ years of hands-on management experience and 5+ years of relevant data engineering expertise. - **A Big Data Expert:** Familiarity with technologies like Snowflake, Airflow, BigQuery, or Redshift, and mastery of RDBMS and NoSQL databases. - **A Master of the Stack:** Proficiency in Python or Java and expert-level SQL skills. - **A Systems Thinker:** Experience designing data warehouses and workflow systems, including owning SLAs for critical processes.