Technical Manager – Databricks

PwC Acceleration Center India

Bengaluru

On-site

INR 4,000,000 - 6,000,000

Full time

14 days+

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Job summary

PwC Acceleration Center India in Bengaluru is seeking a Technical Manager to lead Databricks, PySpark and AWS data platforms. You will guide architecture, design, and delivery of enterprise-scale analytics solutions while mentoring a team of engineers.

The role highlights governance, coding standards, and best practices with collaboration across business, architecture and cloud teams to deliver scalable data solutions that drive business outcomes.

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.
  • Collaborate with business, architecture, and cloud teams to deliver scalable data solutions.

Skills

Databricks
AWS
Python
SQL
Data Lakehouse
Delta Lake Architecture
ETL/ELT Frameworks
Data Modeling
Data Warehousing
CI/CD
GitHub
DevOps
Agile Delivery
Stakeholder Management
Team Leadership

Job description

Technical Manager – Databricks, PySpark & AWS position.

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
  • 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.
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