Wait, What Do You Do?

Hybrid (3 days in office, flexible scheduling) Who we are DoubleVerify 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. Learn more at <a href="http://www.doubleverify.com/">www.doubleverify.com</a>. About the Role 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. Your Role 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. Your Key Responsibilities Technical Leadership <ul> <li>Provide expert guidance on data warehouse technologies and data movement platforms </li> <li>Collaborate with developers, infrastructure engineers, and product teams to ensure platform standards and best practices</li> </ul> Innovation and Strategy <ul> <li>Champion DevOps practices, Infrastructure as Code (IaC), and CI/CD pipelines</li> <li>Contribute to the platform's technology roadmap</li> </ul> Hands-On Development <ul> <li>Design platforms for seamless data movement from various sources to data warehouses</li> <li>Develop and maintain data warehouse platforms and data movement infrastructure</li> <li>Build self-service tools and platforms for efficient data movement</li> <li>Develop automation using GitLab, terraform any scripting</li> <li>Experience with Airbyte and Liquibase setup is a plus </li> </ul> Platform Reliability & Ownership <ul> <li>Ensure scalability and performance of data platforms, implement monitoring, alerting, and incident response processes</li> <li>Optimize data warehouse performance and data movement pipelines</li> </ul> Required Experience <ul> <li>5+ years in DevOps, Platform Engineering, or Data Engineering with a focus on data infrastructure</li> <li>Deep expertise in at least one data warehouse technologies – Snowflake, BigQuery, CloudSQL, SQL Server, or MongoDB</li> <li>Strong experience in data movement and integration – Building or operating platforms for data movement, ETL/ELT pipelines, or data integration tools, deployment tools </li> <li>Proven track record implementing CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or equivalent)</li> <li>Proficiency in programming – Python, Java, Go, Bash, or equivalent</li> <li>Cloud infrastructure expertise – Strong understanding of cloud platforms, preferably GCP</li> <li>Experience with data platform tooling – Airbyte, Liquibase, dbt, or similar</li> </ul> Preferred Qualifications <ul> <li>Strong basics in data warehousing systems</li> <li>Experience with Airbyte or similar data integration platforms</li> <li>Experience with Liquibase or similar database schema change management tools</li> <li>Experience with data cataloging and governance tools (Atlan, or similar)</li> <li>Understanding of data quality frameworks and monitoring solutions</li> <li>Familiarity with Kubernetes and container orchestration</li> <li>Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, or similar)</li> </ul> Soft Skills <ul> <li>Collaborative team player with excellent communication skills</li> <li>Passion for technology with ability to inspire others with customer-centric mindset</li> <li>Comfortable with ambiguity and able to drive clarity in complex domains</li> </ul> What We Offer <ul> <li>Opportunity to work on cutting-edge data platforms serving the entire organization</li> <li>Exposure to modern data warehouse technologies and data movement solutions</li> <li>Impact on how DoubleVerify teams work with data at scale</li> <li>Competitive compensation and benefits</li> </ul> How to Apply If you're passionate about building reliable, scalable data platforms and enabling teams to work with data efficiently, we'd love to hear from you. Please submit your application through our careers portal.DoubleVerify is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between $111,000 - $222,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted. Not-so-fun fact: <a href="https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-QaHkxF-J6DnOrpLeuZQc$" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-QaHkxF-J6DnOrpLeuZQc$&source=gmail&ust=1684938412437000&usg=AOvVaw0CniBQNf70G5TxCR0QyED2">Research</a> shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

Sr Data Platforms Engineer