EPIC Data Platform Lead

Santa Clara, CA, US • Posted 4 hours ago • Updated 4 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Databricks
  • Lakehouse

Summary

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
  • Strong experience leading the design and implementation of enterprise cloud data platforms, with substantial hands-on Databricks experience.
  • Strong working knowledge of Apache Spark, Delta Lake, Databricks Workflows, Unity Catalog, SQL, and Python. Scala experience is beneficial.
  • Demonstrated ability to perform complex data analysis, profiling, reconciliation, debugging, performance analysis, and root-cause investigation using large datasets.
  • Experience implementing production-grade batch, streaming, micro-batch, event, and file-based ingestion patterns, including schema evolution, replay, backfill, and idempotent processing.
  • Experience with cloud-native data services, object storage, IAM, private networking, key management, logging, monitoring, infrastructure as code, and CI/CD. AWS experience is preferred; Azure or Google Cloud Platform experience is also relevant.
  • Strong knowledge of data security and governance concepts, including least privilege, identity federation, service principals, classification, lineage, retention, masking, audit logging, DLP, controlled data sharing, and regulated or customer-sensitive data handling.
  • Experience designing or operating dedicated-tenant, multi-tenant, or customer-isolated platforms, including tenant lifecycle, logical and physical isolation, resource governance, and cross-tenant security testing.
  • Experience implementing encryption in transit and at rest, cloud KMS or HSM integrations, customer-managed keys, BYOK, key rotation, separation of duties, and cryptographic control evidence.
  • Strong architecture, technical documentation, stakeholder management, and engineering leadership skills, with the ability to convert ambiguous requirements into executable designs and delivery plans.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10200946b
  • Position Id: 9064849
  • Posted 4 hours ago
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MK

Meenakshi Kaur

Recruiter @ Nityo Infotech Corporation
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