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Senior, highly specialized Databricks/AWS platform role reduces applicant competition.
Databricks/AWS Lakehouse expertise is transferable across industries but requires specific platform experience.
Explicit 10+ years and mandatory Databricks/AWS/Delta Lake expertise make shortlisting highly selective.
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Lead design and implementation of scalable Data Lakehouse solutions on AWS and Databricks.
Establish and enforce enterprise data architecture standards, governance, and best practices across multiple teams.
Provide technical leadership to delivery teams, driving design decisions, code reviews, and ensuring successful project delivery.
10+ years of experience in Data Engineering, Data Architecture, Enterprise Architecture, or related domains.
Strong hands-on experience with AWS services including S3, Glue, IAM, Lambda, Lake Formation, and Redshift.
Expertise with Databricks, Delta Lake, Unity Catalog, and Medallion Architecture (Bronze, Silver, Gold layers).
Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related field; Master's preferred; Location: Nagpur.
Experienced technical leader capable of managing multiple delivery teams and collaborating with business and product stakeholders.
Deep expertise in building enterprise-scale data platforms integrating analytics, AI, and generative AI data pipelines.
Strategic thinker with pragmatic delivery focus and strong coaching skills to guide teams in complex, fast-paced environments.