
Hiring: Data Architect (Azure + Databricks)
Location: Milpitas, CA (Hybrid 4 Days Onsite)
Employment Type: W2
Local Bay Area Candidates Only
We are seeking a hands-on Data Architect with deep expertise in Azure and Databricks to design, build, and optimize enterprise data platforms and products.
Key Responsibilities:
Design scalable, secure, and cost-effective data architectures on Azure and Databricks
Build data lakehouse solutions using Delta Lake and Medallion Architecture
Develop production-grade Spark applications using PySpark, Scala, and SQL
Design and implement batch and streaming data pipelines
Configure and optimize Databricks environments and Azure services
Implement data governance using Unity Catalog and Azure Purview
Lead architecture reviews, code reviews, and mentor engineering teams
Partner with business and technical stakeholders to deliver modern data solutions
Required Skills:
8+ years of Data Engineering/Data Architecture experience
Expert-level Databricks (Delta Lake, Unity Catalog, Cluster Optimization)
Strong Azure experience (ADLS, Data Factory, Synapse, Event Hubs, Purview)
Advanced Apache Spark and performance tuning experience
Production coding experience in PySpark, Scala, and/or Python
Strong SQL and query optimization skills
Experience with Lakehouse, Data Mesh, and modern data architectures
Knowledge of Kafka, Event Hubs, and Structured Streaming
Experience with Terraform, ARM Templates, and CI/CD practices
Preferred:
Azure Solutions Architect Expert Certification
Databricks Certified Data Engineer Professional
MLOps and Machine Learning platform experience
Cloud migration and modernization experience
Multi-cloud experience (AWS/Google Cloud Platform)