DataBricks Manager

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

Job summary

PwC Hyderabad/Bangalore is seeking a Technical Manager (Databricks) with 10+ years of IT experience. You will lead the data platform architecture and drive enterprise-scale data solutions on Databricks and AWS.

You will mentor a team of data engineers and technical leads, manage stakeholders, and ensure governance and timely delivery in a fast-paced environment.

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.

Skills

Team leadership

Mentoring

Stakeholder management

Agile delivery

Technical architecture

Tools

Databricks

PySpark

AWS

Python

SQL

Delta Lake

Data Lakehouse

ETL/ELT frameworks

CI/CD

GitHub

DevOps

Agile

Stakeholder management

Job description

Role & responsibilities

Role & responsibilities Role & responsibilities Role-Technical Manager( DataBricks)Experience-10+yearsLocation-Hyderabad & BanaglorePreferred candidate profile Must have experience as manager in current company or the Architecture not team leadMust have have experience in Databrick, Pyspark, AWS, SQL,Stakeholder and Team Management Experience

Preferred candidate profile 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.