Engineering Manager - Data Platform

Career Renew is recruiting for one of its clients an Engineering Manager - Data Platform - this is a fully remote role for US-based candidates. Salary range: 200-240K USD plus benefits plus equity.

We provide innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. We are backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.

Role: We’re looking for an Engineering Manager to lead our Data Platform team, responsible for building and scaling the data infrastructure that powers our products and decisioning systems. This team owns the pipelines, storage systems, and data services that enable all of our products, data analysis and business intelligence. These systems are foundational to how we detect fraud, power machine learning models, and deliver insights to customers.

As the manager of this team, you will lead a group of engineers responsible for designing and operating scalable data systems – from ingestion and transformation to serving and analytics. You’ll partner closely with Data Science, Product, and Engineering teams to ensure data is reliable, accessible, and actionable across the company. You should also have strong data engineering fundamentals and enjoys engaging deeply with technical systems – guiding architecture, reviewing designs, and helping solve complex data challenges.

This role sits at the intersection of data engineering, platform architecture, and people leadership. You’ll define technical direction, improve the reliability and scalability of our data systems, and help evolve our data platform to support the company’s next stage of growth.

This is a remote, US-based position.

Technologies: Golang, Python, PostgreSQL (RDS), Redshift, EMR, Spark, Docker, OpenSearch, AWS technologies (Lambda, Cognito and other standard services)

Responsibilities: • Lead and grow a team of data engineers responsible for our data platform and infrastructure

• Define and drive the technical vision for data ingestion, processing, storage, and serving systems

• Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases

• Ensure high standards for data quality, reliability, and observability across all data systems

• Partner with Data Science to enable their pipelines and enable efficient access to high-quality data

• Collaborate with Product and Engineering teams to power data-driven features and decisioning systems

• Work closely with Infrastructure to optimize performance, cost, and scalability of data systems

• Establish best practices for data governance, schema management, and pipeline reliability

• Support operational excellence, including monitoring, alerting, and incident response for data systems

• Hire, mentor, and develop engineers while maintaining a high hiring bar

• Foster a culture of ownership, accountability, and continuous improvement

• Contribute to architecture and technical problem-solving as needed

Requirements: • 2-5+ years of engineering management experience leading data or platform teams

• Strong background as a senior or staff-level data engineer or backend engineer with data focus

• Experience building and scaling data platforms, including ETL/ELT pipelines and data infrastructure

• Proficiency in Python, Golang, or similar languages

• Deep understanding of distributed data systems, batch and streaming architectures

• Experience with cloud-based data platforms (AWS, GCP, or Azure)

• Strong knowledge of databases, data modeling, and query optimization (SQL, RDBMS, data warehouses)

• Track record of delivering reliable, scalable data systems in production environments

• Comfortable leading technical discussions and diving into system design details

• Experience operating in fast-paced, startup or growth-stage environments

• Experience with big data and streaming technologies (Spark, Kafka, Flink, etc.) preferred

• Familiarity with data lakes, warehouses (Redshift), and modern data architectures preferred

• Experience building data platforms that support ML or fraud/risk systems preferred

• Fintech or fraud domain experience preferred

Why you should join us

• Identity Fraud Is A National Crisis And The Market Is Enormous – Identity theft and synthetic fraud cost the US economy tens of billions of dollars every year, and the problem is getting much more complex to solve, not easier. We are at the centre of this – the first company to go live with the eCBSV, the only identity verification provider to have testified before the United States House of Representatives on the future of identity., and the chosen partner of 13 out of the top 15 US banks including JP Morgan Chase and Citibank. This is not a company trying to break into the space. It is the company that is defining it.

• Unmatched Growth At This Scale – We've raised $85M from Andreessen Horowitz, Craft Ventures, and other top tier investors. The company hit cash flow positive in 2023 and profitability in 2025 at Series B, which is genuinely rare for this stage. This is not a company projecting growth – it is a company that has already delivered it, with Tier-1 investors and enterprise clients to back that up. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner.

• Genuinely Hard Problems, Real Ownership – Most data platform roles sit at the analytics end – feeding dashboards, maintaining pipelines, serving static data to internal teams. This is far more interesting and complex. We are ingesting data from 500+ partners, government institutions, and social media outlets – different types of PII that need to be accurate, current, and served in milliseconds across live production systems. On top of that, the team is actively building Manifest Merge from the ground up – a technically demanding new product dealing with vast volumes of messy, live data where the playbook does not yet exist. You would help to drive this from the ground floor as our first line manager in Engineering.

• Remote-First, Sustainably Intense – We are fully remote across the US, with optional offices spread across the US for those who to be in-person. The CEO actively encourages people to take time off, and they do. Whilst it is not a place to coast (expect a 40-60 hour week and a genuine expectation that you show up and deliver), but what makes it sustainable is that we, unusually for a company at this stage, are remarkably organised and mature. High standards, real accountability, and none of the dysfunction that usually comes with other start-ups.