Principal Data Platform Engineer

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo.

Zoominfo is a rapidly growing data-driven company, and as such- we understand the importance of a comprehensive and solid data solution to support decision making in our organization.

Our vision is to have a consistent, democratized, and accessible single source of truth for all company data analytics and reporting.

Our goal is to improve decision-making processes by having the right information available when it is needed.

As a Principal Software Engineer in our Data Platform infrastructure team you'll have a key role in building and designing the strategy of our Enterprise Data Engineering group.

What You'll do:

• Design and build a highly scalable data platform to support data pipelines for diversified and complex data flows.
• Track and identify relevant new technologies in the market and push their implementation into our pipelines through research and POC activities.
• Deliver scalable, reliable and reusable data solutions.
• Leading, building and continuously improving our data gathering, modeling, reporting capabilities and self-service data platforms.
• Working closely with Data Engineers, Data Analysts, Data Scientists, Product Owners, and Domain Experts to identify data needs.
• Develop processes and tools to monitor, analyze, maintain and improve data operation, performance and usability.

What you bring:

• Relevant Bachelor degree or other equivalent Software Engineering background.
• 12+ years of experience as an infrastructure / data platform / big data software engineer.
• Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, Athena.
• IaC design and hands-on experience. 
• Familiarity designing CI/CD pipelines with Jenkins, Github Actions, or similar tools.
• Experience in designing, building and maintaining enterprise systems in a big data environment on public cloud.
• Strong SQL abilities and hands-on experience with SQL, performing analysis and performance optimizations.
• Hands-on experience in Python or equivalent programming language.
• Experience with administering data warehouse solutions (like Bigquery/ Redshift/ Snowflake).
• Experience with data modeling, data catalog concepts, data formats, data pipelines/ETL design, implementation and maintenance.
• Experience with Airflow and DBT - advantage
• Experience with Kubernetes using GKE or EKS - advantage..
• Experience with development practices Agile, TDD - advantage