Engineering Manager, Data Services

TrueML

7d • $150,000 - $250,000

About The Position

As the Engineering Manager for Data Services, you will be a primary architect and leader of the ecosystem that powers TrueML’s intelligence. TrueML is in a phase of purposeful scaling, and this role requires leadership to bridge the gap between raw infrastructure and actionable insights. Reporting to the Director of Engineering, Data, you will oversee the data platform strategy, DataOps, and real-time streaming capabilities. You will help address key architectural gaps, drive the modernization of data tooling, and guide your team through platform migrations. The goal is to champion data integrity and technical excellence while leading a world-class team during this period of deliberate expansion. The role involves managing and modernizing a complex data ecosystem, transitioning from legacy frameworks to modern data architectures, including the Data Streaming Platform (Common Event Bus, Confluent Kafka, legacy CDC & debezium tooling) and Core Data Services (Relational databases, legacy Collectr Data Services including Repos, Panda Express, Debtor Events Service, ElasticSearch clusters, and TaskRunner).

Requirements

• 2+ years of hands-on engineering management experience and a proven track record of growing technical teams through coaching and mentorship.
• Advanced proficiency in Python, Java, or Golang, alongside expert-level SQL skills.
• Extensive experience designing data platforms, real-time streaming pipelines, and workflow systems, including owning SLAs for critical production processes.
• Excellent communication skills to translate deep technical hurdles into clear, actionable updates for business partners and cross-functional stakeholders.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
• 7+ years of total experience in Data Engineering, Platform Engineering, or Software Engineering.
• 2+ years of experience explicitly in a leadership or management role.
• Proven experience executing data platform migrations and managing technical debt.

Nice To Haves

• Experience with Spark, Scala, Benthos, or Protocol Buffers.
• Experience navigating the unique compliance and regulatory challenges of the FinTech or financial services industry.

Responsibilities

• Lead, manage, and mentor a group of data engineers, fostering their career development and establishing a strong engineering mindset focused on vertical delivery alignment.
• Own the strategic design, development, and evolution of the Common Event Bus (CEB) architecture to ensure resilient, scalable, and company-wide real-time data distribution.
• Actively manage technical debt and guide the team through migrations from legacy processing frameworks and data services into a modernized data stack.
• Partner cross-functionally with Data Science, Product, and business stakeholders to translate complex business needs into efficient, well-documented data models.
• Perform high-impact code reviews, optimize data pipelines, and provide critical guidance on performance and scalability.
• Contribute directly to development work and troubleshooting alongside your team when critical mission-focused needs arise.

Benefits

• Total rewards
• Opportunities for growth

What This Job Offers

• Job Type: Full-time
• Career Level: Manager