Azure Databrick SME

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Milpitas, CA, USA
In-Office
80-90 Annually
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
The Role

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 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, DevOps, 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.

Key Responsibilities
  • 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 DevOps 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.
Required Skills & Experience
  • 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 DevOps 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.
Preferred Qualifications
  • 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.

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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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