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 Manager of our Data Platform infrastructure team, you'll have a key role in building and designing the strategy of our Enterprise Data Platform group.

 

What will you actually be doing?

• Manage and provide your team with mentorship and development opportunities.
• Design and deliver a highly scalable data platform infrastructure roadmap 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.
• 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. 

 

Requirements

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

#IL:TG

#IL:hybrid