Principal Data Engineer

BayRock Labs • Milpitas, CA

9d

About The Position

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 Services
Cloud‑native architecture design, scalability, and cost optimization
Security & governance: RBAC, Managed Identity, Private Endpoints
Databricks Engineering
End‑to‑end development on Azure Databricks
Lakehouse architecture implementation
Delta Live Tables (DLT), Unity Catalog
Performance tuning, cluster optimization
CI/CD for Databricks workloads
Big Data & Processing Frameworks
Apache Spark with advanced PySpark transformations
Structured Streaming & batch data pipelines
Delta Lake architecture & optimization
Programming & Querying
Python for automation, data engineering, and orchestration
PySpark for distributed data processing
SQL for complex query optimization and analytics engineering
Data Architecture & Engineering
Enterprise Data Warehouse (EDW) architecture
Dimensional modeling (Star/Snowflake)
Data Vault 2.0 modeling
Metadata‑driven ingestion frameworks
Change Data Capture (CDC) implementation
Medallion architecture (Bronze/Silver/Gold)
Data lineage, governance, cataloging
Master Data Management (MDM)
Data Products & Analytics Enablement
Design and delivery of scalable data products
Business‑aligned semantic layer design
KPI frameworks & enterprise reporting enablement
Integration of ERP, SaaS, and operational systems
Hybrid 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 observability
Agile/Scrum delivery
Strategic & Leadership Impact
Principal‑level solution architecture design
Cross‑functional stakeholder collaboration
Technical roadmap planning and execution
Guidance on data governance frameworks (GDPR, SOX)
Cloud cost optimization strategies
Migration from legacy EDWs (Teradata, Oracle, SQL Server) to Lakehouse

Requirements

• 5–10+ years of hands‑on experience in data engineering or data architecture
• Strong expertise in Azure + Databricks ecosystem
• Proven experience building scalable, secure, high‑performance data platforms
• Ability to lead design discussions, influence architecture decisions, and mentor teams
• Strong problem‑solving mindset and passion for modern data engineering

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed