Manager, Data Engineering

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ShipBob, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🛍️ eCommerce

☁️ SaaS

💰 $200M Series E on 2021-06

eCommerce • Logistics • SaaS

ShipBob, Inc. is a comprehensive 3PL (third-party logistics) service provider specializing in e-commerce order fulfillment. They offer a full stack fulfillment platform with OMS, IMS, RMS, ERP, and analytics to automate and streamline fulfillment processes. With a focus on omnichannel and B2B capabilities, ShipBob assists businesses in selling across online and in-person channels while offering services like inventory management, customization for unique unboxing experiences, and end-to-end managed freight. Their global network enables efficient 2-day shipping across the continental US and facilitates global expansion with fulfillment centers in multiple countries. Additionally, ShipBob integrates with popular eCommerce platforms like Shopify and Amazon, supporting a wide range of industries including health, beauty, and apparel. Their technology-driven approach enhances supply chain automation, providing reliable and transparent logistics solutions worldwide.

📋 Description

• 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