Technical Manager_Databeicks

PwC Acceleration Center India; Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

PwC Acceleration Center India is seeking a Technical Manager (Databricks) in a hybrid role. The candidate will lead data platforms using Databricks and AWS and mentor a team of data engineers.

Requires 13+ years IT experience, 5+ years leadership, and strong expertise in Databricks, PySpark, AWS, and data warehousing. The role focuses on architecture, design, and delivery of enterprise-scale data solutions.

Qualifications

• 10–12+ years of IT experience.
• 5+ years in technical leadership or team management.
• Proven experience leading large-scale data engineering and cloud transformation.

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

ETL/ELT

Data Modeling

Data Warehousing

CI/CD

GitHub

DevOps

Agile

Stakeholder Management

Leadership

Job description

Role- Technical Manager( DataBricks)9 Must be working as manager in current organisation not team lead)

Experience- 13+years

Mode of working- Hybrid

Job Description-

Databrick, Pyspark, AWS, SQL,Stakeholder and Team Management Experience

Must be working as an Architecture or Manager currently

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
• 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.