Manager, Data Engineering

Cypress HCM is a leading company in the FinTech industry, and they are seeking a Director of Data Engineering to lead a high-performing data engineering team. This role involves owning the strategy and execution of an enterprise-scale transaction matching and data platform, collaborating with business stakeholders to deliver scalable data solutions.

Responsibilities:

• 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

Requirements:

• 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
• Familiarity with Oracle EPM or similar reconciliation/financial close platforms
• Experience in payments or financial data processing at enterprise scale