Shippo is hiring a
Senior Manager of Data Engineering, Remote - United States

Summary

The job is for a Senior Manager of Data Engineering at Shippo, where the candidate will lead data infrastructure and analytics initiatives. The role requires expertise in AWS Cloud, Postgres, Kafka, Databricks, and Looker, and the candidate should have experience in enabling federated data products and data solutions development.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• Proven experience (5+ years) in a senior data management role, preferably within a technology-driven company
• Experience in enabling federated data products and data solutions development through building frameworks, architectures, and data tools
• Expertise in AWS Cloud, Postgres, Kafka, Databricks, and Looker
• Strong hands-on experience with data architecture, data modeling, and data engineering
• Demonstrated ability to work with high levels of abstraction and ambiguity
• Experience enabling self-serve analytics capabilities for business users
• Excellent communication and collaboration skills, with the ability to work effectively across teams and with stakeholders
• Strong leadership and mentorship abilities, with a track record of developing high-performing teams

Responsibilities

• Design, build, and maintain a scalable and robust data platform utilizing AWS Cloud, Postgres, Kafka, Databricks, and Looker
• Ensure data platform architecture aligns with industry best practices and emerging trends
• Enable self-serve analytics capabilities for business users, empowering them with the tools and insights needed to make data-driven decisions
• Develop and maintain dashboards, reports, and visualizations using Looker
• Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to understand data needs and deliver strategic solutions
• Drive the data strategy and roadmap, ensuring alignment with business objectives and goals
• Implement data governance frameworks to ensure data accuracy, consistency, and security
• Establish data quality metrics and monitoring processes to maintain high data integrity
• Be hands-on with data architecture, modeling, and engineering to solve complex data challenges
• Stay current with data trends and industry tools, continuously evaluating and integrating new technologies to enhance the data platform
• Enable federated data products and data solutions development by various engineering teams by building the necessary framework, architecture, and data tools
• Foster a culture of collaboration and innovation to drive the development of federated data products
• Lead and mentor a team of data professionals, fostering a culture of continuous learning and innovation

Benefits

• The standard base pay range for this role is min $191k to a max $258k annual salary
• Total compensation for this role will include, equity, medical, dental, vision and other benefits noted in our Shippos ‘package’ section