Databricks | Data Engineering and Analysis | Cloud Security | Governance | Encryption | Multi-Tenant Platforms
Required 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.
Function | Data Platforms / Advanced Analytics |
Role type | Technical Lead / Solution Lead |
Primary platform | Databricks Lakehouse on cloud |
Scope | EPIC data platform, dedicated tenant and multi-tenant capabilities |
Location | Santa Clara, CA |
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