Senior Manager, Data Engineering & Data Platform

Exol

1d•$118,000 - $162,800•Remote

About The Position

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.

Requirements

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.
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.

Nice To Haves

Experience with GCP (BigQuery), Snowflake, dbt, and managed orchestration (Airflow/Composer).
Familiarity with metadata-driven governance and AI/BI enablement.

Responsibilities

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.