Xenon7 collaborates with leading enterprises and innovative startups on cutting-edge IT projects across various domains including Data, Web, Infrastructure, and AI.
The client is a Fortune 500 leader in the pharmaceutical industry, focused on innovating and expanding technological capabilities.
The Data Architect will join a product team working on a self-service company-wide platform that enables teams and business units to deploy AI solutions across the organization.
The role involves leading the architectural design and strategy for a large-scale lakehouse migration, defining the technical roadmap, data governance, and best practices for leveraging Databricks and cloud-native tooling.
The Data Architect will ensure scalability, security, and performance across data domains.
Requirements:
A Bachelor's or Master's degree in Computer Science, Data Science, or a related field is required.
Candidates must have 11+ years of experience in data architecture or senior data engineering roles.
Proven expertise in the Databricks platform, particularly with Unity Catalog, workflows, and notebooks is essential.
A deep understanding of lakehouse architecture concepts and implementation is necessary.
Strong hands-on experience with PySpark, Python, and SQL is required.
Familiarity with Git (Bitbucket or GitHub) and CI/CD processes is important.
Excellent communication and stakeholder management skills are a must.
Candidates should be available to start within 2 weeks.
Benefits:
The position offers the opportunity to work on transformative initiatives that drive innovation and business growth.
Employees will be part of a collaborative environment with leading enterprises and innovative startups.
The role provides a chance to shape the future data platform and influence architectural decisions.
There is potential for professional growth and development within a Fortune 500 company.