Databricks Technical Manager

PwC; Hyderabad, Bengaluru; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

PwC Hyderabad is seeking a Senior Technical Manager to lead enterprise data platforms using Databricks and AWS. You will drive architecture, delivery, and mentorship for a team of data engineers and technical leads.

Collaborating with business, architecture, and cloud squads, you will establish engineering standards, ensure code quality, governance, and scalable analytics solutions. Ideal candidates have 10–12 years IT experience and 5+ years in technical leadership, with proven success in

Qualifications

• 10–12+ years of IT experience.
• 5+ years in technical leadership / team management.
• Proven experience leading large-scale Data Engineering and Cloud Transformation initiatives.

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.

Skills

Databricks

PySpark / Apache Spark

AWS

Python & SQL

Delta Lake

ETL / ELT Frameworks

Data Modeling & DW

CI/CD / DevOps

Agile Delivery & Stakeholder Mgmt

Team Leadership & Mentoring

Job description

Technical Manager Databricks, PySpark & AWS position. We would appreciate your support in initiating the hiring process for this role.

This position requires a strong 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.