This position requires a solid technical leader with extensive experience in Databricks, PySpark, AWS Cloud Technologies, Data Engineering, and team leadership. The individual will be responsible for leading the design and delivery of enterprise-scale data and analytics solutions while managing and mentoring a team of engineers.
Key Skills Required
Databricks
PySpark / Apache Spark
AWS (S3 and other ETL Services)
Python and SQL
Data Lakehouse / Delta Lake Architecture
ETL / ELT Frameworks
Data Modeling and Data Warehousing
CI/CD, GitHub, DevOps Practices
Agile Delivery and Stakeholder Management
Strong Team Leadership and Mentoring Experience
Experience
(10-12)+ years of overall IT experience
5+ years in Technical Leadership / Team Management roles
Proven experience leading large-scale Data Engineering and Cloud Transformation initiatives
Role Responsibilities
Lead architecture, design, and implementation of data platforms using Databricks and AWS.
Manage and mentor a team of Data Engineers and Technical Leads.
Drive project delivery, stakeholder engagement, and technical governance.
Establish engineering best practices, code quality standards, and operational excellence.
Collaborate with business, architecture, and cloud teams to deliver scalable data solutions.
📌 Technical Manager – Databricks (Hyderabad)
🏢 PwC Acceleration Center India
📍 Hyderabad
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