Data Engineer - Senior Manager
PwC (company site, opens in a new tab)13–18 yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and implementation of enterprise-scale data engineering solutions on modern cloud data platforms and lakehouse architectures.
- Own end-to-end technical delivery and solution outcomes ensuring business alignment, quality, scalability, and client satisfaction.
- Coach and mentor teams on architecture, engineering best practices, and technical problem solving while driving innovation including AI-enabled solutions.
Minimum Requirements
- Bachelor’s degree or equivalent experience.
- 13 to 18 years of relevant experience in data engineering or related technology roles.
- Hands-on experience with modern cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, Sigma, or similar.
- Experience designing and implementing scalable data pipelines, API integrations, and distributed data processing using Python, SQL, Spark.
Ideal Candidate Profile
- Technical leader with deep expertise in application architecture, solution design, and enterprise-grade data platforms in cloud environments.
- Fluent in modern engineering practices including CI/CD, DevOps, deployment automation, and AI orchestration technologies like LangChain or Semantic Kernel.
- Able to lead complex technical initiatives, influence cross-functional teams, and translate complex technical concepts into business outcomes for clients.