Technical Manager – Databricks

PwC Acceleration Centers; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PwC Acceleration Centers in Hyderabad is seeking a Senior Data Engineering Leader to design and deliver enterprise-scale data and analytics solutions while mentoring a team of engineers.

You will oversee architecture using Databricks and AWS, drive governance, and collaborate with business, architecture, and cloud teams to scale data platforms. Strong leadership and delivery excellence are essential.

Qualifications

• 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.

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.

Skills

Databricks

AWS

Python

SQL

Data Lakehouse

ETL/ELT

Data Modeling

CI/CD

Team Leadership

Tools

GitHub

DevOps

Job description

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
• 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.