Greetings from Pwc!

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

Experience- 13+years

Location-Hyderabad & Bangalore

Mode of working- Hybrid

-

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

Must be working as an Architecture or Manager currently

If interested kindly share cv on [email protected] or whatsapp (phone hidden)

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

This position requires a solid 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.

📌 Technical Manager_Databeicks (Hyderabad)
🏢 PwC Acceleration Center India
📍 Hyderabad