Manager, Data Platform Infrastructure Engineering

15 hours ago

Raanana, Central District, Israel ZoomInfo Technologies Full time ₪120,000 - ₪240,000 per year

About the role

ZoomInfo is looking for a Manager of Data Platform Infrastructure Engineering 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. Playing a key role in building and designing the strategy of our Enterprise Data Platform group.

What you'll do

  • Manage and provide your global team with mentorship and development opportunities.

  • Lead the the roadmap and 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

  • 3+ years of managing as a Manager/ TL.

  • 9+ 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

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