Who we are

DoubleVerify is the leading independent provider of marketing measurement software, data, & analytics that authenticates the quality & effectiveness of digital media for the world's largest brands & media platforms. DV provides media transparency & 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 www.doubleverify.com.

About the Role

As a member of the Data Platforms team at DoubleVerify, you will enhance the development experience for engineering & product teams by delivering reliable data platforms. You will shape & optimize our core data services with  focus on data warehouse technologies & platforms that enable seamless data movement & 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) & data movement platforms(Airbyte). You will ensure their reliability, scalability, & alignment with strategic objectives while enabling teams to work with data independently.

Your Key Responsibilities

Technical Leadership

• Provide expert guidance on data warehouse technologies & data movement platforms 
• Collaborate with developers, infrastructure engineers, & product teams to ensure platform standards & best practices

Innovation & Strategy

• Champion DevOps practices, Infrastructure as Code (IaC), & 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 & maintain data warehouse platforms & data movement infrastructure
• Build self-service tools & platforms for efficient data movement
• Develop automation using GitLab, terraform any scripting
• Experience with Airbyte & Liquibase setup is a plus 

Platform Reliability & Ownership

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

Required Experience

• 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 & integration Building or operating platforms for data movement, ETL/ELT pipelines, or data integration tools, deployment tools 
• Proven track record implementing CI/CD pipelines & 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

Preferred Qualifications

• 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 & governance tools (Atlan, or similar)
• Understanding of data quality frameworks & monitoring solutions
• Familiarity with Kubernetes & container orchestration
• Experience with monitoring & observability tools (Prometheus, Grafana, Datadog, or similar)

Soft Skills

• Collaborative team player with excellent communication skills
• Passion for technology with ability to inspire others with customer-centric mindset
• Comfortable with ambiguity & able to drive clarity in complex domains

What We Offer

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

How to Apply

If you're passionate about building reliable, scalable data platforms & 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 & are committed to creating an inclusive environment for all employees.

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & 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, & 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, & recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women & other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but youre not sure that you check every box, apply anyway!