Senior Enterprise Data Platform Engineer
InfoCepts (company site, opens in a new tab)10–15 yrsChennaiOn-siteDirect career pageEst. 25–45 LPA
Posted on 29 Aug
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.