Sr Data Platforms Engineer
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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 • 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) • Collaborative team player with excellent communication skills • Passion for technology with ability to inspire others with customer-centric mindset • Comfortable with ambiguity and able to drive clarity in complex domains
Responsibilities
• 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. • Technical Leadership • 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 • Innovation and Strategy • Champion DevOps practices, Infrastructure as Code (IaC), and CI/CD pipelines • Contribute to the platform's technology roadmap • Hands-On Development • 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 • Experience with Airbyte and Liquibase setup is a plus • Platform Reliability & Ownership • 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