Sr Data Platforms Engineer

DoubleVerifyNew York, NY
9h$111,000 - $222,000Hybrid

About The Position

As a member of the Data Platforms team at DoubleVerify, you will enhance the development experience for engineering and product teams by delivering reliable data platforms. You will shape and optimize our core data services with focus on data warehouse technologies and platforms that enable seamless data movement and governance Our Mission: Enable secure, self-service data at scale across DoubleVerify through a governed platform. As a Senior Data Platforms Engineer, you will own the end-to-end lifecycle of critical data platforms, focusing on data warehouse technologies (Snowflake, Mongo, SQL Server, BigQuery, CloudSQL) and data movement platforms(Airbyte). You will ensure their reliability, scalability, and alignment with strategic objectives while enabling teams to work with data independently.

Requirements

  • 5+ years in DevOps, Platform Engineering, or Data Engineering with a focus on data infrastructure
  • Deep expertise in at least one data warehouse technologies – Snowflake, BigQuery, CloudSQL, SQL Server, or MongoDB
  • Strong experience in data movement and integration – Building or operating platforms for data movement, ETL/ELT pipelines, or data integration tools, deployment tools
  • Proven track record implementing CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or equivalent)
  • Proficiency in programming – Python, Java, Go, Bash, or equivalent
  • Cloud infrastructure expertise – Strong understanding of cloud platforms, preferably GCP
  • Experience with data platform tooling – Airbyte, Liquibase, dbt, or similar

Nice To Haves

  • Strong basics in data warehousing systems
  • Experience with Airbyte or similar data integration platforms
  • Experience with Liquibase or similar database schema change management tools
  • Experience with data cataloging and governance tools (Atlan, or similar)
  • Understanding of data quality frameworks and monitoring solutions
  • Familiarity with Kubernetes and container orchestration
  • Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, or similar)

Responsibilities

  • Provide expert guidance on data warehouse technologies and data movement platforms
  • Collaborate with developers, infrastructure engineers, and product teams to ensure platform standards and best practices
  • Champion DevOps practices, Infrastructure as Code (IaC), and CI/CD pipelines
  • Contribute to the platform's technology roadmap
  • Design platforms for seamless data movement from various sources to data warehouses
  • Develop and maintain data warehouse platforms and data movement infrastructure
  • Build self-service tools and platforms for efficient data movement
  • Develop automation using GitLab, terraform any scripting
  • Ensure scalability and performance of data platforms, implement monitoring, alerting, and incident response processes
  • Optimize data warehouse performance and data movement pipelines

Benefits

  • Opportunity to work on cutting-edge data platforms serving the entire organization
  • Exposure to modern data warehouse technologies and data movement solutions
  • Impact on how DoubleVerify teams work with data at scale
  • Competitive compensation and benefits
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