Sr Data Platforms Engineer

Hybrid (3 days in office, flexible scheduling) Who we are

Double Verify is the leading independent provider of marketing measurement software, data, and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem, helping to build a better industry.

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As a member of the Data Platforms team at Double Verify, 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 Double Verify 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, Big Query, Cloud

SQL) and data movement platforms(Airbyte). You will ensure their reliability, scalability, and alignment with strategic objectives while enabling teams to work with data independently.

• 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 Dev Ops 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 Git Lab, terraform any scripting
• Experience with Airbyte and Liquibase setup is a plus

• Ensure scalability and performance of data platforms, implement monitoring, alerting, and incident response processes
• Optimize data warehouse performance and data movement pipelines

• 5+ years in Dev Ops, Platform Engineering, or Data Engineering with a focus on data infrastructure
• Deep expertise in at least one data warehouse technologies – Snowflake, Big Query, Cloud
  
  SQL, 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, Cloud Formation, 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

• 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 Double Verify teams work with data at scale
• Competitive compensation and benefits

If…