Principal Data Engineer

Reposted 4 Days Ago
Milpitas, CA, USA
In-Office
80-85 Hourly
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
The Role
The Principal Data Engineer will design and implement scalable data platforms, lead architecture discussions, and mentor teams. Requires expertise in Azure and Databricks.
Summary Generated by Built In

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 ExpertiseAzure 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
Ideal Candidate Profile
  • 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

Top Skills

Azure
Databricks
Pyspark
Python
SQL
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The Company
HQ: San Jose, California
52 Employees

What We Do

Welcome to BayRock Labs, a global leader in engineering excellence and innovation. With HQ in the USA and inspired by Silicon Valley, we create scalable products driving business success. Our mission is simple: harness technology's power with unmatched agility and expertise. With 2000+ consultants worldwide, we deliver cutting-edge solutions to 70+ clients. Our track record: 500+ products, earning us trust as an innovation partner. From groundbreaking mobile apps to cloud optimization, excellence is our hallmark. Agility is our foundation, adapting swiftly to industry demands. At BayRock Labs, creativity and flexibility fuel innovation. At BayRock Labs, we understand that great products are born from collaboration and expertise. That's why we've established four specialized labs to focus on different aspects of software product engineering: 1. Experience Labs: Where UX and Product Management converge to create intuitive and customer-centric solutions. 2. Engineering Labs: Focused on full-stack frameworks and development to ensure the highest quality and efficiency in engineering. 3. Data Labs: Harnessing the power of AI/ML and modeling to unlock insights and drive informed decision-making. 4. Cloud Labs: Dedicated to DevSecOps and security, ensuring the scalability and reliability of cloud-based solutions. Our comprehensive suite of services covers a wide range of areas, including: * Product Development * Web/Mobile App Development * IT Ops (Apps/Cloud) * IT Consulting * Bolt-ons for Enterprise Apps (CRM, ERP) Management At BayRock Labs, we promote diversity and inclusion in the tech industry. We believe diversity drives innovation, so we actively promote and support women in technology roles. Join us at BayRock Labs and be part of a team that is shaping the future of technology. Together, let's build products that transform businesses and change lives.

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