Engineering Manager, Data Platform

TrueML

3d • $111,700 - $148,900

About The Position

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.

Requirements

• 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.

Nice To Haves

• You bring experience with Spark, Scala, or Protocol Buffers, or you have navigated the unique regulatory challenges of the FinTech industry.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 11-50 employees