About the role
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.
What you’ll do:
- 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 engineering teams.
- Established experience building and maintaining modern cloud-based data platforms (data lakes, lakehouse, or data warehouse architectures).
- Solid hands-on expertise in data pipeline development, SQL, distributed data processing, and cloud-native data services.
- Experience working with Azure-based data ecosystems (e.g., ADLS, Databricks) or similar modern cloud data platforms.
- Demonstrated ability to implement data governance, quality, and observability best practices.
- Experience supporting BI, analytics, and machine learning workloads at scale.
- Sound understanding of data modeling, ingestion frameworks, and data transformation strategies.
- Experience collaborating across distributed teams and cross-functional stakeholders.
- Excellent communication and stakeholder management skills.
- Demonstrated success hiring, mentoring, and scaling engineering talent.
- Ability to balance hands-on technical guidance with people leadership responsibilities.
- Familiarity with global data protection and compliance requirements (e.g., GDPR, SOC-2) preferred.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field preferred.
Perks & Benefits:
- Medical, Term & Accidental Insurance
- All Purpose Leave (casual & sick time): 12 days
- Earned Leave: 15 days
- Public Holiday: 12 days
- Generous Maternity & Paternity Leave
- Quarterly Wellness Day
- Work From Home Allowance
- See Our High-Performing Culture >>> Check us out on Instagram (@lifeatshipbob)
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of
Aplyr's read
ShipBob, Inc. is a tech-driven logistics firm revolutionizing e-commerce fulfillment, attracting roles from cloud security to merchant support.
What's promising
- •ShipBob's tech platform significantly enhances e-commerce shipping efficiency.
- •The company has a diverse range of roles, from engineering to operations.
- •Strong focus on innovation in logistics technology solutions.
What to watch
- •High competition in the logistics and fulfillment sector.
- •Rapid growth may lead to operational challenges.
- •Limited public information about employee turnover rates.
Why ShipBob, Inc.
- •ShipBob offers a comprehensive tech-enabled logistics platform for e-commerce.
- •Focus on small to medium-sized businesses differentiates ShipBob from larger logistics firms.
- •Customizable fulfillment solutions tailored to specific business needs.
Aplyr’s read is generated by AI from public sources. Was it useful?
About ShipBob, Inc.
ShipBob, Inc. is a technology-enabled logistics company that provides fulfillment services for e-commerce businesses, helping them streamline their shipping and inventory management.
