Manager, Data Engineering

Location: Remote, USA Employees: 1,000 | Team Size: 5-8 Industry: FinTech | Payments Domain Reports To About the Role We are seeking an experienced and hands-on Director of Data Engineering to lead and scale a high-performing data engineering team. In this role, you will own the strategy and execution of an enterprise-scale transaction matching and data platform, partnering closely with business stakeholders and senior leadership to deliver robust, scalable data solutions. You thrive in a fast-paced, high-growth environment, bring a bias for action, and know how to balance long-term platform vision with near-term delivery. What You'll Do • Lead and develop a team of data engineers focused on building and maintaining data products centered around transaction matching and reconciliation systems. • Collaborate with business stakeholders and senior leadership to define, plan, and execute the data engineering roadmap, aligning technical investments with business priorities. • Identify and drive automation opportunities across pipelines, operational workflows, and reporting to reduce manual effort and improve scalability. • Remain hands-on with coding, code reviews, and the design and development of high-performance ETL/ELT pipelines using modern tooling. • Design and implement enterprise-scale data architectures spanning on-prem and cloud environments. • Partner with Product and Business Analyst teams to translate functional requirements into scalable technical solutions. • Establish and enforce data quality standards, testing frameworks, and SLAs across all integrated data sources and pipelines. • Oversee the design, implementation, and maintenance of data integrations between on-prem and cloud services, ensuring reliability, performance, and security. • Drive continuous improvement in engineering practices, tools, and processes; implement long-term solutions to stabilize and scale the data platform. • Champion documentation culture — architecture diagrams, data dictionaries, pipeline specs, and runbooks. • Manage team capacity, sprint planning, and delivery in an agile environment; remove blockers and set the team up for success. • Lead hiring, onboarding, and performance management for the data engineering team; develop talent and foster a high-trust, collaborative culture. Required Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent technical discipline; advanced degree a plus. • 8+ years of experience in data engineering, with at least 3 years in a people management or technical lead capacity. • Strong hands-on proficiency with SQL (Oracle, PostgreSQL, MSSQL, or Snowflake) and a JVM-based language (Java or Groovy); Python scripting is a plus. • Proven track record designing and delivering large-scale ETL/ELT pipelines and data transformation applications. • Hands-on experience with DBT and Snowflake. • Experience working in regulated financial services environments (payments, reconciliation, or safeguarding); exposure to compliance-driven delivery under regulatory deadlines preferred. • Familiarity with CI/CD tooling (GitLab, Jenkins, or equivalent) and software engineering best practices, including JVM-based microservice architectures. • Experience with automation frameworks, unit testing, and integration testing for data pipelines. • Strong working knowledge of cloud platforms (AWS, Azure, or GCP) and cloud data architecture concepts. • Demonstrated experience leading teams within an Agile delivery environment. • Excellent stakeholder management and communication skills; ability to translate complex technical concepts for business audiences. Preferred • Familiarity with Oracle EPM or similar reconciliation/financial close platforms. • Experience in payments or financial data processing at enterprise scale. Benefits: Medical, Vision, Dental, PTO, Sick Time, HAS, 401K Compensation : $150 - $175K + 8% bonus opportunity