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About the Role

Join the Data & Analytics Platform (DAP) team within the Pinnacle engineering organization. The DAP team owns and operates two data consolidation platforms that ingest, transform, and serve billions of records daily. The data powers dashboards, reports, and APIs used across DoubleVerify's product suite.

Responsibilities

Design and maintain the YAML-based "Contract" system for defining data entities, transformations, and SLOs.
Develop the translation engine to convert user contracts into automated dbt models, Airflow DAGs, and Snowflake objects.
Transition the platform from static configuration files to a dynamic, API-first architecture.
Build tooling and guardrails for self-service data solutions while maintaining global standards.
Optimize the "translation" layer for efficient and cost-effective job generation.
Act as the "Product Manager" for the platform, gathering user feedback to simplify the data development lifecycle.
Design and build data pipelines processing billions of records daily using the DV Internal Data Platform.
Develop and extend the Contract Interpreter (Python library) to generate dbt models, Airflow DAGs, and environment configurations.
Lead new initiatives and integrations with major social platforms to measure ad performance.
Build and maintain the semantic layer, designing LookML models for customer-ready analytics.
Implement and maintain observability, including monitoring, alerting, and data consistency checks.
Leverage AI agents and tooling to accelerate development and automate workflows.
Design schema evolution and data migration strategies, managing versioning and backfills.
Work in multi-functional agile teams with end-to-end product development responsibility.
Collaborate with engineers from partner platforms on API development and data integration.
Train and mentor a team of software engineers.

Requirements

Bachelor's degree or foreign equivalent in Computer Science, Data Engineering, or a related field.
5+ years of experience in a Data Engineering or related role.
Strong SQL skills, including advanced querying, performance tuning, window functions, and complex transformations.
Proficiency in Python for building libraries, data processing scripts, and automation tooling.
Deep experience with Snowflake, including schema design, Snowpipe, streams, tasks, materialized views, clustering, and query optimization.
Experience with dbt (data build tool), including building and maintaining models, macros, and incremental strategies.
Experience with orchestration tools like Airflow / Cloud Composer, including DAG design, scheduling, and monitoring.
Experience with cloud platforms such as GCP (GCS, BigQuery, Cloud Composer, Kubernetes) or equivalent.
Strong understanding of data warehousing concepts, including dimensional modeling, star/snowflake schemas, and data consistency patterns.
Experience with CI/CD pipelines, such as GitLab CI, Flyway migrations, or similar deployment automation.
Experience with AI-assisted development tools like Claude Code, Cursor, or GitHub Copilot.
Experience building or contributing to AI agent context files, skills, or meta-repo patterns is a strong plus.
Experience building or working with contract-driven / configuration-driven data platforms.
Experience with Looker / LookML, including building semantic models and dashboards.
Experience with Kafka, including schema registries and topic management.
Experience with data quality and observability frameworks.
Experience with Terraform or infrastructure-as-code for managing cloud resources.
Familiarity with data mesh principles.

Skills

SQL
Python
Pydantic
Jinja2
Snowflake
dbt
Airflow
Cloud Composer
GCP
GCS
BigQuery
Kubernetes
CI/CD
GitLab CI
Flyway
AI agents
Claude Code
Cursor
GitHub Copilot
Looker
LookML
Kafka
Terraform

Experience Level

5+ years of experience

Education Level

Bachelor's degree or foreign equivalent in Computer Science, Data Engineering, or a related field

Salary/Compensations

$107,000 - $212,000

Benefits

Bonus/commission (as applicable)
Equity
Benefits

About the Company

DV is the leader in digital performance solutions, helping advertiser and agency partners Verify quality, Optimise performance, and Prove business outcomes through unbiased 3rd party data and analytics.
DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising.
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 advertising ecosystem.
Learn more at www.doubleverify.com.

Equal Opportunity

Research 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!