Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related
- Experience:
6-15 Yrs
Full description
- Work on diverse customer-facing Big Data projects, including reference architectures, how-to guides, and MVP development
- Lead end-to-end design, build, and deployment of large-scale big data and AI solutions
- Provide architectural guidance to drive Databricks adoption across business teams
- Design and manage Databricks infrastructure, connectivity, integration patterns, and Unity Catalog migrations
- Manage clusters, networking, platform engineering, and data governance initiatives
- Collaborate closely with platform engineering teams to implement Databricks services effectively
- Evaluate and adopt new Databricks features, including Serverless capabilities
- Design and implement integrations between Databricks and third-party tools such as Collibra and data quality platforms
- Apply AWS administration and architecture expertise to optimize cloud resources and Databricks integrations
- Implement Unity Catalog for strong data governance, security, and lineage tracking
- Promote and implement CI/CD practices for Databricks solution deployments
- Contribute to data mesh architecture by enabling decentralized data ownership and access
- Communicate Databricks analytics capabilities to help teams derive actionable insights
Required Knowledge, Skills, and Abilities
- - Robust experience with AWS cloud services and architecture
- Excellent documentation and whiteboarding skills to explain complex concepts
- Deep knowledge of Databricks services, including Unity Catalog and Serverless Databricks
- Proven experience migrating from Databricks Classic to Lakehouse architecture using Delta and/or Delta Live Tables
- Strong collaboration skills with the ability to work across teams and functions
📌 Databricks Architect/Engineer (India)
🏢 Stratologon
📍 India
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