Manager, Software Engineering - Data Infrastructure

Marqeta·Remote(Remote, USA)
Software Development
Excel

WFA Digital Insight

The demand for skilled data infrastructure leaders has surged, with a 25% increase in remote job postings in the last year alone. As companies continue to invest in AI and analytics, professionals with expertise in data engineering, AWS, and agile delivery are in high demand. Marqeta, a pioneer in the FinTech space, is seeking a seasoned Manager of Software Engineering to lead their data infrastructure team. With a strong track record of innovation, Marqeta offers a unique opportunity for career growth and development. Before applying, candidates should be prepared to showcase their technical expertise, leadership skills, and experience in driving operational excellence.

Job Description

About the Role

The Manager of Software Engineering - Data Infrastructure is a newly created hands-on leadership role that combines technical depth with people management. As a key member of the data engineering team, you will lead a team of 5-6 engineers operating critical data platforms that power Marqeta's AI and analytics strategy. Your primary responsibility will be to mentor your team, drive agile delivery, and apply product thinking to infrastructure. You will execute on Marqeta's data strategy while ensuring operational excellence for platforms processing billions in monthly transaction data.

The role requires a unique blend of technical expertise, leadership skills, and business acumen. You will work closely with the Director of Data Engineering to develop and implement the company's data strategy, while also collaborating with cross-functional teams to drive business growth. Your team will be responsible for designing, building, and maintaining large-scale data systems, ensuring 99.5% uptime and managing on-call rotation.

What You Will Do

  • Lead 5-6 engineers through hands-on technical mentoring, performance management, and career development while fostering operational excellence
  • Own data lake infrastructure operations, including S3, Airflow, Kafka/MSK, and Spark/Glue, maintaining 99.5% uptime and managing on-call rotation
  • Drive agile delivery with sprint planning, capacity planning, and requirements analysis to ship infrastructure improvements quarterly
  • Apply product thinking by gathering customer requirements from data teams, prioritizing platform features, and measuring adoption success
  • Execute technical roadmaps that deliver on data strategy, translating vision into concrete project plans with measurable outcomes
  • Partner with security/compliance on governance controls and work with vendors on technical integrations and platform optimization
  • Develop and manage project plans, resource allocation, and timelines to ensure successful project delivery
  • Collaborate with cross-functional teams to identify and prioritize project requirements
  • Conduct regular team meetings, performance reviews, and provide feedback to ensure team growth and development

What We Are Looking For

  • 6+ years of experience in data engineering/infrastructure, with 2+ years of experience leading technical teams at scale
  • Deep hands-on expertise with AWS data services, including S3, EMR/Glue, and data catalog tools
  • Strong product thinking with experience translating customer requirements into platform capabilities
  • Proven agile delivery skills, including capacity planning, sprint execution, and requirements analysis
  • Track record of operational excellence, including on-call management, incident response, and achieving SLAs
  • Excellent mentoring skills, with a passion for developing engineers and building high-performing teams
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Experience with payments or the FinTech space is a plus

Nice to Have

  • Experience with cloud-based data platforms, such as AWS or Google Cloud
  • Knowledge of data governance and security best practices
  • Familiarity with containerization using Docker and Kubernetes
  • Experience with CI/CD pipelines and automated testing

Benefits and Perks

  • Competitive salary, aligned with industry standards
  • Flexible work arrangement, with the option to work remotely or from a company office
  • Comprehensive benefits package, including health, dental, and vision insurance
  • 401(k) matching program, with a generous company match
  • Generous PTO policy, with paid vacation and sick leave
  • Opportunities for professional growth and development, including training and education programs
  • Access to cutting-edge technology and tools, including the latest data engineering software and hardware
  • Collaborative and dynamic work environment, with a team of experienced professionals

How to Stand Out

  • To stand out in the application process, be prepared to showcase your experience with AWS data services, including S3, EMR/Glue, and data catalog tools.
  • Highlight your ability to apply product thinking to infrastructure, and provide examples of how you have successfully translated customer requirements into platform capabilities.
  • Emphasize your experience with agile delivery, including capacity planning, sprint execution, and requirements analysis.
  • Be prepared to discuss your experience with on-call management, incident response, and achieving SLAs.
  • When negotiating salary, be sure to research the market rate for similar positions in the industry, and be prepared to discuss your expectations and requirements.
  • Look for red flags such as lack of clear communication, unrealistic expectations, or unclear project goals during the interview process.

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