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👑Data Leadership

Engineering Manager, Data Services

trueml · Remote in USA
// classified as
Data Leadership (Heads of data, directors, managers.)
posted
1d ago
location
Remote in USA
languages
—
tools
elasticsearch, kafka
> stack
elasticsearchkafka
> description
Why TrueML?
 
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
 
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

The Opportunity

As the Engineering Manager for Data Services, you will be a primary architect and leader of the ecosystem that powers TrueML’s intelligence. We are currently in a phase of purposeful scaling, and we need your leadership to bridge the gap between raw infrastructure and actionable insights.

Reporting to the Director of Engineering, Data, you will oversee our data platform strategy, DataOps, and real-time streaming capabilities. You will help address key architectural gaps, drive the modernization of our data tooling, and guide your team through platform migrations. Your goal is to champion data integrity and technical excellence while leading a world-class team during this period of deliberate expansion.

Key Data Services & Ecosystem

In this role, you will manage and modernize a complex data ecosystem, helping transition from legacy frameworks to modern data architectures:

  • The Data Streaming Platform: Common Event Bus (CEB) architecture, Confluent Kafka, and legacy CDC & debezium tooling.

Core Data Services: Relational databases (Normalized Db for Collectr data) and legacy Collectr Data Services (including Repos, Panda Express, Debtor Events Service, ElasticSearch clusters, and TaskRunner).
Apply at trueml →