Data Platform Engineer

July 10, 2026
Application ends: October 9, 2026
Apply Now

Job Description

What You’ll Do

  • Data Catalog Ownership: Own and evolve our data catalog built on OpenMetadata, including custom integrations for in-house data sources and tight coupling with the data product lifecycle.
  • Efficient Platform Tooling: Build opinionated platform tooling that enables teams to create compliant data lakes in days, not months, using Terraform modules for S3, IAM, Lake Formation, and access patterns.
  • Reusable Component Design: Design and maintain reusable platform components such as dbt runtimes for transformations and tests, data quality checks, and standardized data contracts using Open Data Contract Standard (ODCS).
  • Cross-Functional Collaboration: Work closely with data engineers, analysts, and product teams to ensure data is secure, reliable, discoverable, and easy to consume.

What We’re Looking For

  • Hands-on experience with AWS, especially S3, Glue, Athena, and Lake Formation. Depth in some areas matters more than breadth
  • Strong SQL and Python skills, with experience building and maintaining data pipelines or platform services. Knowledge of Spark is a plus
  • Practical experience with infrastructure as a code, preferably Terraform
  • Experience extending, integrating, or operating data platform tools such as data catalogs, metadata systems, or other open-source components
  • Understanding of data modeling, schemas, and contracts, and interest in making data interfaces explicit and reliable
  • Experience with DevOps and GitOps practices, especially for enforcing computational governance
  • Experience with Docker. Basic familiarity with Kubernetes is a plus.
  • A platform engineering mindset, thinking in terms of reusable components, paved roads, and developer experience
  • Familiarity with Snowflake, either as a user or an administrator, is a plus

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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