Manager, Data Engineering
ShipBob, Inc.
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- 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.
Requirements
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringData Pipeline DevelopmentSQLDistributed Data ProcessingCloud-native Data ServicesData ModelingData Ingestion FrameworksData Transformation StrategiesMachine LearningAnalytics
Soft Skills
Team ManagementMentoringCommunicationStakeholder ManagementCross-Functional CollaborationAccountabilityOwnershipPerformance FeedbackRisk IdentificationLeadership