Principal Data Engineer

About BayRock Labs At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let's redefine what's possible in technology. We are looking for a highly skilled Senior Data Engineer / Data Architect with deep hands‑on expertise in Azure, Databricks, PySpark, Python, SQL, and modern data warehousing. This role is ideal for someone who has built large‑scale data platforms, designed enterprise‑grade architectures, and delivered high‑quality data products in cloud environments. Core Technical Expertise Azure Cloud Platform ADLS Gen2, ADF, Synapse, Azure SQL, Key Vault, App ServicesCloud‑native architecture design, scalability, and cost optimizationSecurity & governance: RBAC, Managed Identity, Private Endpoints Databricks Engineering End‑to‑end development on Azure DatabricksLakehouse architecture implementationDelta Live Tables (DLT), Unity CatalogPerformance tuning, cluster optimizationCI/CD for Databricks workloads Big Data & Processing Frameworks Apache Spark with advanced PySpark transformationsStructured Streaming & batch data pipelinesDelta Lake architecture & optimization Programming & Querying Python for automation, data engineering, and orchestrationPySpark for distributed data processingSQL for complex query optimization and analytics engineering Data Architecture & Engineering Enterprise Data Warehouse (EDW) architectureDimensional modeling (Star/Snowflake)Data Vault 2.0 modelingMetadata‑driven ingestion frameworksChange Data Capture (CDC) implementationMedallion architecture (Bronze/Silver/Gold)Data lineage, governance, catalogingMaster Data Management (MDM) Data Products & Analytics Enablement Design and delivery of scalable data productsBusiness‑aligned semantic layer designKPI frameworks & enterprise reporting enablementIntegration of ERP, SaaS, and operational systemsHybrid Lakehouse + EDW architectures DevOps & Engineering Practices CI/CD pipelines (Azure DevOps, GitHub Actions, Bitbucket)Infrastructure as Code (Terraform, ARM templates)Automated testing (unit, integration, data quality)Monitoring, logging, and observabilityAgile/Scrum delivery Strategic & Leadership Impact Principal‑level solution architecture designCross‑functional stakeholder collaborationTechnical roadmap planning and executionGuidance on data governance frameworks (GDPR, SOX)Cloud cost optimization strategiesMigration from legacy EDWs (Teradata, Oracle, SQL Server) to Lakehouse Ideal Candidate Profile 5–10+ years of hands‑on experience in data engineering or data architectureStrong expertise in Azure + Databricks ecosystemProven experience building scalable, secure, high‑performance data platformsAbility to lead design discussions, influence architecture decisions, and mentor teamsStrong problem‑solving mindset and passion for modern data engineering Locations: Milpitas, CA