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Niche Databricks/AWS lakehouse specialization and senior 10+ years reduces applicant density despite metro locations.
Core data platform skills transfer across industries, but enterprise SAP/ERP and Databricks expertise favor enterprise backgrounds.
Explicit 10+ years plus mandatory Databricks/AWS/Spark/Python and leadership make filtering highly stringent.
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Lead architecture and design of scalable Data Lakehouse solutions on AWS and Databricks to support analytics, AI, and Generative AI initiatives.
Establish enterprise data architecture standards, governance frameworks, and engineering best practices across multiple delivery teams.
Provide technical leadership including driving design decisions, code reviews, and collaborating with stakeholders for successful project delivery.
10+ years of experience in Data Engineering, Data Architecture, Enterprise Architecture, or related domains.
Strong hands-on expertise with AWS services (S3, Glue, IAM, Lambda, Lake Formation, Redshift) and Databricks (Delta Lake, Unity Catalog).
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.
Location: Nagpur (onsite explicitly mentioned).
Experienced technical leader with ability to influence and guide multiple teams in designing enterprise data platforms.
Deep domain expertise in Data Lakehouse architectures, Medallion Architecture, data modeling, and integration frameworks supporting AI and analytics workloads.
Able to balance enterprise data governance needs with agile project delivery and collaborate effectively with business and technical stakeholders.