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.

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
• 1+ year of experience with
  LLMs, RAG, search, or information retrieval systems
• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• Advanced
  SQL
  skills and warehouse expertise (
  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:
  Kafka, Spark, Beam, Dataflow, EMR
• Proven background in
  metadata systems & governance
  : data contracts, catalogs, OpenLineage
• Infrastructure experience:
  Kubernetes, serverless (Lambda/Cloud Functions), Terraform, CI/CD (GitHub Actions, Jenkins)
• Strong foundation in
  data security & privacy
  : IAM, secrets management, encryption, tenant isolation
• Expertise in
  MCP tool servers/clients
  , capability registries, and observability patterns
• Knowledge of
  lakehouse formats (Delta Lake, Iceberg, Hudi)
• 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.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.