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 across our organization.
Our vision is to establish a consistent, democratized, and accessible single source of truth for all company data analytics and reporting, built with a strong emphasis on trust, security, and compliance.

Our goal is to improve decision-making processes by ensuring the right information is available when needed—securely and responsibly.

As a Senior Data Platform Engineer in our Data Platform Infrastructure team, you’ll play a key role in designing and implementing the strategic foundation of our Enterprise Data Platform group, with a focus on scalability, security, and tenant-aware architecture.

What Will You Actually Be Doing?

• Design and build a highly scalable and secure data platform to support data pipelines for diversified and complex data flows.
• Implement least-privilege access across IaC, CI/CD and other layers of Platform
• Incorporate industry-standard data security and privacy practices, including data classification, access control, encryption at rest and in transit, and key rotation mechanisms.
• Champion data isolation principles to ensure secure data segregation across business units and environments.
• Track and identify relevant new technologies and security enhancements in the market, driving their adoption via research and POCs.
• Deliver scalable, reliable, reusable, and compliant data solutions.
• Lead and evolve our data ingestion, modeling, and reporting capabilities, ensuring they align with both self-service needs and security best practices.
• Collaborate with Data Engineers, Analysts, Scientists, Product Owners, and Domain Experts to identify secure data access patterns and governance requirements.
• Develop processes and tools to monitor, analyze, maintain, and improve data operations, security posture, performance, and usability.

Requirements

• Relevant Bachelor's degree or equivalent background in Software Engineering.
• 8+ years of experience as an infrastructure/data platform/big data software engineer.
• Experience with security-conscious development in cloud environments (AWS/GCP), including GCS/S3, Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, Athena.
• Strong understanding of data protection mechanisms, key management services (e.g., AWS KMS, GCP KMS), and role-based access controls (RBAC).
• Managing secrets, tokens, certificates with HashiCorp Vault, Akeyless or AWS Secrets Manager.
• Proven experience with Infrastructure as Code (IaC) and CI/CD tools like Jenkins, GitHub Actions, or similar.
• Expertise in designing, building, and maintaining secure and performant enterprise systems in public cloud big data environments.
• Strong SQL abilities and experience in query optimization.
• Hands-on experience in Python or equivalent languages.
• Experience administering and designing data warehouses like BigQuery, Redshift, or Snowflake, with a focus on secure configuration.
• Familiarity with data classification frameworks, regulatory requirements (GDPR, CCPA), and governance tooling.
• Experience with ETL design and implementation, including orchestration tools like Airflow and dbt.

Experience with container orchestration using Kubernetes (GKE or EKS) – advantage.
Exposure to Agile development methodologies and TDD – advantage.

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