Principal Data Platform Engineer

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

About the role:

ZoomInfo is looking for a Principal Data Platform Infrastructure Engineer to design and scale our next-generation Self Service AI-ready enterprise data platform. This role is at the intersection of data infrastructure and AI, powering LLM chatbots, intelligent agents, and advanced analytics at enterprise scale. You’ll drive architecture across the data platform, semantic layer, Model Context Protocol (MCP) services, and governance automation, ensuring consistent, reliable, and high-quality outcomes.

Advantages:

• Work Mode: Our hybrid model provides two days of remote work each week, with office days based in Ra’anana 
• Easy to commute: ZoomInfo office is right by the Ra’anana South train station

What you’ll do:

• Lead the architecture of an AI-first enterprise data platform
• Build and scale MCP-driven tooling, context fabric, and semantic contracts
• Automate governance, data quality, lineage, and policy-as-code frameworks
• Implement PII classification/redaction and multi-tenant context scoping
• Ensure reliability, observability, performance, and cost efficiency across the platform
• Partner with Data Engineering, Analytics, and ML/AI teams on access patterns and evaluation standards
• Drive proof-of-concepts (POCs) and platform innovation initiatives
• Establish best practices in Infrastructure-as-Code, CI/CD, and automated policy enforcement

Basic qualifications:

• 7+ years designing and building large-scale data platforms and distributed cloud systems
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• Advanced SQL skills and warehouse expertise (such as Snowflake, BigQuery, Redshift)
• Strong programming skills in Python; experience with microservices and data services
• Workflow orchestration (Airflow) and modeling (dbt) system setup and abstraction experience
• Batch/streaming systems design expertise, such as, Kafka, Spark, Beam, Dataflow, EMR
• Infrastructure experience, such as, Kubernetes, serverless (Lambda/Cloud Functions), Terraform, CI/CD (GitHub Actions / Jenkins)
• Experience in data security & privacy such as IAM, secrets management, encryption, tenant isolation
• Knowledge of Lakehouse formats such as Delta Lake, Iceberg, Hudi.
• Background in metadata systems & governance, such as, data contracts, catalogs, OpenLineage, OpenMetadata

Advantages:

• Experience with LLMs, RAG, search, or information retrieval systems
• Understanding of MCP tool servers/clients, capability registries, and observability patterns
• Familiarity with FinOps for AI: cost controls, token budgeting, caching strategies

About us: 

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

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ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

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