Azure Databrick SME

About Bay Rock Labs

At Bay Rock 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 seeking a highly skilled Data Platform Engineer (SME level) with deep hands‑on expertise in Azure Databricks
, data engineering
, and platform engineering
. The ideal candidate will have strong experience in Microsoft Azure
, Dev Ops
, and automation
, along with working knowledge of AI/ML Ops platforms
. This role is critical in designing, building, and maintaining scalable, secure, and high‑performance enterprise data solutions.

• Build and maintain enterprise‑grade data platforms leveraging Azure Databricks
  .
• Design, develop, and optimize data pipelines, ETL workflows, and orchestration processes.
• Support platform engineering initiatives to enhance scalability, reliability, and performance.
• Integrate AI/ML Ops capabilities into data platforms to enable advanced analytics and machine learning.
• Implement Dev Ops and automation best practices for CI/CD, monitoring, and infrastructure as code.
• Ensure security, compliance, and governance across all data systems.
• Collaborate with cross‑functional teams (data scientists, architects, business stakeholders) to deliver end‑to‑end solutions.

• Expert‑level hands‑on experience with Azure Databricks (clusters, notebooks, Delta Lake, MLflow).
• Strong background in data engineering (ETL, data modeling, big data frameworks).
• Proven expertise in platform engineering and enterprise‑scale data solutions.
• Proficiency in Microsoft Azure services (Data Lake, Synapse, Key Vault, Functions, Logic Apps).
• Solid understanding of Dev Ops practices (CI/CD pipelines, Git, Terraform/ARM templates, automation).
• Working knowledge of AI/ML Ops platforms (model deployment, monitoring, ML lifecycle management).
• Strong skills in SQL, Python, and Spark for data processing and analytics.
• Excellent problem‑solving, communication, and stakeholder management skills.
• 10+ years of experience in enterprise data engineering/platform roles preferred.

• Experience with enterprise supply chain or manufacturing data platforms
  .
• Familiarity with data governance frameworks and compliance standards.
• Certifications in Azure Data Engineer Associate or Azure Solutions Architect Expert
  .

The pay range for this role is:

80 - 90 INR per hour (Hybrid (Milpitas, California, US))