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Xenon Seven
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Databricks Data Architect

Databricks Data Architect

Xenon Seven

11 years

0 Lacs

Hyderabad Telangana India

Posted:1 week ago| Platform:

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Skills Required

databricks data ai development service design strategy migration tooling scalability security architecture governance unity support engineering processing strategies pyspark workflow orchestration code git aws azure python bitbucket github communication management jenkins automation

Work Mode

On-site

Job Type

Contractual

Job Description

About us:

At Xenon7, we work with leading enterprises and innovative startups on exciting, cuttingedge projects that leverage the latest technologies across various domains of IT includingData, Web, Infrastructure, AI, and many others. Our expertise in IT solutions developmentand on-demand resources allows us to partner with clients on transformative initiatives,driving innovation and business growth. Whether it's empowering global organizations orcollaborating with trailblazing startups, we are committed to delivering advanced,impactful solutions that meet today's most complex challenges.

About the Client:

Join one of the Fortune 500 leaders in the pharmaceutical industry that is lookinginnovate and expand our technological capabilities. The person would join a product teamworking on their self-service company-wide platform that enables all the teams andbusiness units to deploy their AI solutions, making them accessible across the entirecompany.

Role Overview:

We are seeking a Data Architect to lead the architectural design and strategy for a largescale lakehouse migration. This role involves defining the technical roadmap, datagovernance, and best practices for leveraging Databricks and cloud-native tooling. Youwill play a key role in shaping the future data platform, ensuring scalability, security, andperformance across data domains.

Responsibilities:

Design end-to-end architecture for the lakehouse migration, aligning with business and technical goals
Establish data governance frameworks using Unity Catalog and support lineage, access, and compliance
Guide engineering teams on scalable data modeling and processing strategies using PySpark and SQL
Define standards for workflow orchestration, code quality, and CI/CD using Git-based tools
Evaluate and optimize system architecture for performance, cost, and maintainability
Collaborate with cloud architects and platform teams to integrate with AWS/Azure services as needed
Document architectural decisions, patterns, and migration plans

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
11+ years of experience in data architecture or senior data engineering roles
Proven expertise in Databricks platform, especially Unity Catalog, workflows, and notebooks
Deep understanding of lakehouse architecture concepts and implementation
Strong hands-on experience with PySpark, Python, and SQL
Familiarity with Git (Bitbucket or GitHub) and CI/CD processes
Excellent communication and stakeholder management skills
Availability to start within 2 weeks

Nice to Have:

Experience with Snowflake or other modern data platforms
Cloud architecture knowledge in AWS or Azure
Exposure to Jenkins or other orchestration/automation frameworks

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Databricks Data Architect