A Data Architect develops computer databases for a company or organization. Designs, builds and implements databases and database systems that meet business requirements. Supports database administration, develops database security policies and works to prevent cyber attacks.
SanDisk (Through BayRock Labs) We are hiring an experienced Data Architect with deep expertise in Azure, Databricks, and Apache Spark to join a high-impact enterprise data transformation initiative. This is a hands-on architecture role where you'll be responsible for designing scalable data platforms while actively building, coding, and optimizing production-grade solutions. If you're an architect who enjoys coding or a senior data engineer ready to lead architecture, we'd love to hear from you. Key Responsibilities Design scalable, secure, and cost-efficient enterprise data architectures on Azure and Databricks. Build and implement modern data lakehouse solutions using Delta Lake and Medallion Architecture. Develop production-grade data pipelines using PySpark, Scala, SQL, and Apache Spark. Optimize Databricks clusters, Spark workloads, and platform performance. Design streaming and batch processing solutions using Event Hubs, Kafka, and Structured Streaming. Implement data governance, security, and metadata management using Unity Catalog and Azure Purview. Conduct architecture reviews, code reviews, and mentor engineering teams. Collaborate with business and technical stakeholders to translate requirements into scalable solutions. Drive best practices around DevOps, Infrastructure as Code, CI/CD, testing, and observability. Required Skills 8+ years of Data Engineering/Data Architecture experience. Expert-level experience with
Azure Data Services:
Azure Data Lake Storage (ADLS) Azure Data Factory (ADF) Azure Synapse Analytics Azure Event Hubs Azure Purview Strong expertise in Databricks, including: Delta Lake Unity Catalog Medallion Architecture Cluster Optimization Advanced Apache Spark performance tuning and optimization. Strong coding experience in PySpark, Scala, Python, and advanced SQL. Experience designing enterprise-scale data platforms and modern data lakehouse architectures. Strong understanding of dimensional modeling, normalized models, and Data Vault. Experience with Infrastructure as Code (Terraform/ARM), CI/CD, and DevOps practices. Preferred Qualifications Azure Solutions Architect Expert Certification. Databricks Certified Data Engineer Professional or Solutions Architect. Experience with MLOps and Machine Learning platforms. Cloud migration and modernization experience. FinOps and cloud cost optimization knowledge. Multi-cloud exposure (AWS/GCP) is a plus. Consulting or advisory experience. What Makes This Role Unique This is not a traditional architect position. You'll spend approximately: 70% Hands-on Development 30% Architecture & Technical Leadership You'll design enterprise architectures, write production code, optimize Spark jobs, troubleshoot production issues, and build working prototypes—leading through technical excellence. Education Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Master's degree preferred. Work Arrangement Hybrid - 4
Days Onsite Location:
Milpitas, California Local Bay Area candidates only Face-to-Face Interview Required If you're passionate about building modern data platforms and want to work directly with a leading global technology client, we encourage you to apply.
