Manager, Data Engineering

Responsibilities

• Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback. Foster accountability, ownership, and engineering excellence.
• Own Data Engineering Execution: Oversee the design, development, and operation of scalable data pipelines and platform capabilities across our cloud data environment. Ensure reliable ingestion, transformation, and availability of structured and unstructured data.
• Enforce Platform Best Practices: Implement and enforce industry best practices for data modeling, pipeline orchestration, testing, monitoring, observability, and cost efficiency across Azure-based data infrastructure (ADLS, Databricks, and related tooling).
• Operational Excellence & Reliability: Define and manage SLAs for production data processes. Ensure high standards for data quality, reliability, and performance. Proactively identify risks and engineering bottlenecks before they impact the business.
• Collaborate Cross-Functionally: Partner with Analytics Engineering and business stakeholders (Finance, Operations, Product, Revenue) to translate business requirements into scalable technical solutions. Ensure alignment between engineering execution and business priorities.
• Support Governance & Compliance: Operationalize data governance, data protection, and compliance frameworks (including GDPR and other global requirements) in partnership with leadership. Ensure secure and responsible data management practices.
• Enable BI and AI/ML Capabilities: Ensure the data platform effectively supports analytics, reporting, machine learning, and AI workloads through well-structured, discoverable, and trusted datasets.
• Elevate Organizational Maturity: Improve engineering processes, documentation standards, code review rigor, deployment practices, and cross-team coordination to elevate the overall maturity of the Data Engineering function.
• Partner in Planning & Roadmapping: Collaborate with the Director of Data Engineering on roadmap planning, resource allocation, and prioritization to ensure successful execution of strategic initiatives.
• This role requires working overlapping hours with U.S.-based colleagues, including evening or overnight hours in India aligned to Central Standard Time (CST).
• Additional duties and responsibilities as necessary.
• What you'll bring to the table:
• 8+ years of experience in Data Engineering or related technical fields.
• 3+ years of experience managing and developing individual contributor e

Benefits

Additional Information

As a member of the ShipBob Team, you will... Grow with an Ownership Mindset : We champion continuous learning and innovation. You'll take on real problems, create tangible solutions, and drive results that move the needle for ShipBob, our merchants, and for your own professional growth. If you're ready to do the most meaningful work of your career, this is the place. Collaborate with Peers and Leaders Alike: At ShipBob, leaders are accessible; feedback flows in both directions, and everyone, regardless of their seniority or role, steps up to help when needed. We hold each other to high standards because we trust each other to meet them. That combination of transparency and mutual respect is what makes the work here feel worth doing. Experience a High-Performance Culture and Clear Purpose: We are results-driven and clear about what that means: our goals are specific, accountability is shared, and every team member can see how their work connects to our mission. When we hit milestones, we celebrate them together. When we fall short, we learn and move forward. Location: Remote in India Role Description: ShipBob views Data Engineering as a true Center of Excellence across our platform and organization. The Manager, Data Engineering will play a critical leadership role in executing this vision by leading a team of Data Engineers responsible for building, maintaining, and scaling enterprise-grade data systems. This role is accountable for the end-to-end execution of data engineering initiatives, including data ingestion, transformation, storage, reliability, and platform scalability. The Manager will oversee the development and maintenance of our modern cloud-based data platform built on Azure technologies (including ADLS and Databricks), ensuring high standards for data quality, governance, availability, and performance. The Manager, Data Engineering will partner closely with Analytics Engineering, Finance, Product, Operations, and Engineering stakeholders to deliver reliable, scalable, and well-governed data solutions that power reporting, business intelligence, machine learning, and AI initiatives. This is a people leadership role managing individual contributors. The ideal candidate brings strong technical depth, a passion for operational excellence, and a proven ability to build high-performing teams in fast-paced environments. This role reports to Sr. Director, Engineering.

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