Senior Data Engineer

ZoomInfo is where careers accelerate, and they are seeking a Senior Data Engineer to be the technical anchor for the Strategic Partnerships team's data platform. This role involves designing ETL pipelines, maintaining data infrastructure, and partnering with senior stakeholders to translate business needs into durable data solutions.

Responsibilities:

• Design and own end-to-end data pipelines across Fivetran, Airflow, dbt, and Databricks — selecting the right tool for each problem rather than defaulting to one
• Architect and maintain the team's semantic layer in dbt, ensuring models are reusable, well-tested, and documented for downstream analysts, tools, and BU stakeholders
• Set and enforce engineering standards across the team — testing, CI/CD, code review, observability, data quality, and documentation
• Partner directly with senior stakeholders across Marketing, Finance, Sales, Legal, HR and Product to scope data needs, advise on tradeoffs, and translate ambiguous business problems into durable data solutions
• Own Terraform-managed infrastructure for the team's Fivetran connectors, GCP resources, and AWS components (Airflow, S3, Lambda)
• Drive architectural decisions on ingestion patterns, warehouse design, and streaming vs. batch tradeoffs
• Establish data governance practices for the team — PII handling, access controls, lineage, and compliance with Finance and Legal data requirements
• Mentor teammates on technical execution, code quality, and system design
• Monitor pipeline SLAs, proactively identify failure modes, and lead incident response for data issues affecting partner BUs

Requirements:

• 6+ years of professional experience as a Data Engineer, with demonstrated ownership of production pipelines at scale
• Expert-level SQL and Python; comfortable optimizing complex queries, profiling pipeline performance, and writing production-grade code
• Deep experience with a cloud data warehouse (Snowflake strongly preferred; BigQuery or equivalent acceptable)
• Strong dbt experience — has designed semantic layers, established modeling conventions, and led dbt adoption or maturation on a team
• Hands-on experience with orchestration tools — Airflow, Fivetran required
• Experience with Databricks and Spark for custom modeling and transformation workloads
• Experience with AWS (Airflow, S3, Lambda) and GCP (BigQuery and adjacent services); comfortable operating across both clouds
• Demonstrated ability to influence architectural decisions and set standards that other engineers follow
• Strong stakeholder management — can run scoping conversations with senior non-technical partners and translate business needs into technical specs
• Security-first mindset; experience with PII handling, access controls, and data governance in regulated environments (SOX, GDPR, or similar)
• Has built something end-to-end before specializing — values broad competence paired with depth
• Production experience with at least one streaming technology (Kafka preferred); experience designing semantic layers; experience with CI/CD for data pipelines
• Experience with Dagster or equivalent orchestration tools
• Production experience with Kafka or similar streaming technology