Symbotic

Senior Manager, Data Engineering & Data Platform

Remote
March 31, 2026
🏠 Remote
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Deadline date:

Job Description

What we need

Exol is seeking a hands-on leader to design, evolve, and operate our multi-tenant data platform. You will own the enterprise data model, ensuring a trusted foundation for analytics, operational visibility, and AI-driven use cases. This role focuses on building durable data foundations rather than one-off reports, partnering across Engineering and Product to maintain a governed, extensible ecosystem as we scale.

What we do

Exol* is pioneering warehousing-as-a-service, offering outsourced warehousing operations, and specializing in automated warehousing solutions. Our focus is on the efficient movement of goods in cases and pallets across all sectors, such as wholesale, retail, and general merchandising.

*Exol is an independently managed joint venture between Symbotic and Softbank.

What you’ll do

  • Platform Leadership: Direct the evolution of a multi-tenant data architecture that balances scalability, performance, and cost across multiple products and customers.

  • Data Model Ownership: Define and govern EXOL’s canonical enterprise data model. Ensure consistency, versioning, and backward compatibility across all services.

  • Engineering & Architecture: Lead the design of batch and streaming ingestion patterns, transformation layers (dbt), and lakehouse components.

  • Automation & CI/CD: Establish standards for pipeline orchestration, configuration management, and automated promotion across environments.

  • Governance & Security: Embed access controls, metadata management, and data retention policies directly into the platform design.

  • Analytics Enablement: Provide structured, trusted datasets to internal analytics teams and external customer-facing workloads.

  • Team Management: Lead and develop a global data engineering team (including India-based GCC), fostering a culture of design reviews and engineering excellence.

What you'll need

  • Bachelor’s degree in computer science or related field.

  • Minimum 8 years in data engineering; 3+ years leading teams.

  • Hands-on expertise in multi-tenant data models, modern lakehouse patterns, and SQL-based transformation frameworks.

  • Ability to debug complex pipeline failures and make cost/performance trade-offs in shared environments.

  • Proven track record of managing global delivery and communicating technical roadmaps to non-technical stakeholders.

Preferred

  • Tech Stack: Experience with GCP (BigQuery), Snowflake, dbt, and managed orchestration (Airflow/Composer).

  • Specialization: Familiarity with metadata-driven governance and AI/BI enablement.

Our environment

  • Up to 50% travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.

  • The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

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