Data Engineering Manager
Position Overview
If you're looking for a unique opportunity to lead and scale a Data Engineering function with the chance to drive a high-impact, enterprise-wide transaction matching and data platform read on. At Payroc, we're building the next generation of capabilities that powers our merchant-first ecosystem. The radical and responsible delivery of value is our mandate. We believe that focused and empowered teams can do great things. You'll find that we're a curious, driven, and pragmatic bunch who believe in outcomes over outputs, and we're looking for like-minded leaders to join us on our journey.
What we're obsessive about:
Small teams, big things: We'll convey the outcomes our merchants require, provide you with the support and tools to succeed, and then we let you work your magic, with no needless processes to get in your way.
Develop, grow, thrive: We promote a philosophy where you can develop and grow as an individual and team. We encourage you to approach problems in unique ways, try new techniques, learn from your colleagues, and master your craft.
Real people, real problems: We develop solutions to solve real-world challenges faced by our merchants. Our Team Members collaborate to build the right things the right way. We are curious about how things work, and we believe that sharing ideas and insights leads to better, more innovative products.
In this role, you will lead a team of data engineers building and scaling data engineering products centered around our transaction matching systems. You will partner with business stakeholders and senior leadership to define and execute the data engineering roadmap, identify automation opportunities, and deliver robust, scalable ETL/ELT pipelines. You will bring a hands-on approach to engineering, an eye for leveraging AI and automation, and the leadership capabilities to build and grow a high-performing team.
Duties and Responsibilities
Lead and develop a team of data engineers focused on building and maintaining data engineering products centered around transaction matching 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 data pipelines, operational processes, and reporting workflows to reduce manual effort and improve scalability.
Remain hands-on with coding, reviewing code, and contributing to the design and development of high-performance ETL/ELT pipelines using modern data engineering tooling.
Design and implement enterprise-scale data architectures.
Partner with Product Managers and Business Analysts to translate functional requirements into scalable technical solutions, driving cross-functional collaboration across the organization.
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 enterprise services, ensuring reliability, performance, and security.
Drive continuous improvement in engineering practices, tools, and processes; recommend and implement long-term solutions to stabilize and scale the data platform.
Champion a culture of documentation, including architecture diagrams, data dictionaries, pipeline specifications, and runbooks.
Manage team capacity, sprint planning, and delivery in an agile environment, removing blockers and ensuring the team is set up for success.
Contribute to hiring, onboarding, and performance management for the data engineering team; develop talent and foster a collaborative, high-trust team culture.
Demonstrate an open-minded and innovative approach to solving large-scale data engineering challenges, staying current with industry trends and emerging technologies.
If you're looking for a unique opportunity to lead and scale a Data Engineering function with the chance to drive a high-impact, enterprise-wide transaction matching and data platform read on. At Payroc, we're building the next generation of capabilities that powers our merchant-first ecosystem. The radical and responsible delivery of value is our mandate. We believe that focused and empowered teams can do great things. You'll find that we're a curious, driven, and pragmatic bunch who believe in outcomes over outputs, and we're looking for like-minded leaders to join us on our journey.
What we're obsessive about:
Small teams, big things: We'll convey the outcomes our merchants require, provide you with the support and tools to succeed, and then we let you work your magic, with no needless processes to get in your way.
Develop, grow, thrive: We promote a philosophy where you can develop and grow as an individual and team. We encourage you to approach problems in unique ways, try new techniques, learn from your colleagues, and master your craft.
Real people, real problems: We develop solutions to solve real-world challenges faced by our merchants. Our Team Members collaborate to build the right things the right way. We are curious about how things work, and we believe that sharing ideas and insights leads to better, more innovative products.
In this role, you will lead a team of data engineers building and scaling data engineering products centered around our transaction matching systems. You will partner with business stakeholders and senior leadership to define and execute the data engineering roadmap, identify automation opportunities, and deliver robust, scalable ETL/ELT pipelines. You will bring a hands-on approach to engineering, an eye for leveraging AI and automation, and the leadership capabilities to build and grow a high-performing team.
Duties and Responsibilities
Lead and develop a team of data engineers focused on building and maintaining data engineering products centered around transaction matching 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 data pipelines, operational processes, and reporting workflows to reduce manual effort and improve scalability.
Remain hands-on with coding, reviewing code, and contributing to the design and development of high-performance ETL/ELT pipelines using modern data engineering tooling.
Design and implement enterprise-scale data architectures.
Partner with Product Managers and Business Analysts to translate functional requirements into scalable technical solutions, driving cross-functional collaboration across the organization.
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 enterprise services, ensuring reliability, performance, and security.
Drive continuous improvement in engineering practices, tools, and processes; recommend and implement long-term solutions to stabilize and scale the data platform.
Champion a culture of documentation, including architecture diagrams, data dictionaries, pipeline specifications, and runbooks.
Manage team capacity, sprint planning, and delivery in an agile environment, removing blockers and ensuring the team is set up for success.
Contribute to hiring, onboarding, and performance management for the data engineering team; develop talent and foster a collaborative, high-trust team culture.
Demonstrate an open-minded and innovative approach to solving large-scale data engineering challenges, staying current with industry trends and emerging technologies.
