Job 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).
What You’ll Do
Empower a Talented Team: Lead, manage, and mentor a group of data engineers, fostering their career development and establishing a strong engineering mindset focused on vertical delivery alignment.
Lead Event Bus Architecture: 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.
Drive Platform Modernization: Actively manage technical debt and guide the team through migrations from legacy processing frameworks and data services into a modernized data stack.
Collaborate Strategically: Partner cross-functionally with Data Science, Product, and business stakeholders to translate complex business needs into efficient, well-documented data models.
Maintain Technical Excellence: Perform high-impact code reviews, optimize data pipelines, and provide critical guidance on performance and scalability.
Balance Leadership with Craft: Contribute directly to development work and troubleshooting alongside your team when critical mission-focused needs arise.
Who You Are
An Experienced Leader: You have 2+ years of hands-on engineering management experience and a proven track record of growing technical teams through coaching and mentorship.
A Master of the Stack: You possess advanced proficiency in Python, Java, or Golang, alongside expert-level SQL skills.
A Systems Thinker: You have extensive experience designing data platforms, real-time streaming pipelines, 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 and cross-functional stakeholders.
Purpose-Driven: You thrive in environments that value intentional progress and are excited to mature a data ecosystem from legacy frameworks into a modern, scalable stack.
Bonus Skills
Experience with Spark, Scala, Benthos, or Protocol Buffers.
Experience navigating the unique compliance and regulatory challenges of the FinTech or financial services industry.
Required Qualifications
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.
Physical Requirements
- Ability to remain in a stationary position for prolonged periods and use computer terminals with multiple monitors.
$150,000 - $250,000 a year
For U.S.-based hires, the overall base salary framework for this role currently spans $150,000 to $250,000. The applicable base salary range for any individual hire depends on the geographic labor market associated with the employee’s primary work location along with other factors such as relevant skills, experience, and qualifications.
Geographic labor markets are divided into “tiers” based upon a number of factors, including cost of living. Below, you’ll find a few example cities representative of each tier:
U.S. Geo Tier 1(i.e. San Francisco, New York City, Boston)
U.S. Geo Tier 2(i.e.Austin, Denver, Phoenix)
U.S. Geo Tier 3(i.e.Kansas City, Jacksonville, Indianapolis)
We encourage you to speak to your recruiter to learn more about our compensation philosophy as well as discuss our benefits, total rewards, and opportunities for growth.
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.
