Databricks Technical Manager

Role & responsibilities

Role & responsibilities Role & responsibilities

Role-Technical Manager( DataBricks)

Experience-9years to 14years only

Location-Hyderabad & Bangalore

Preferred candidate profile

Must have experience as manager in current company or the Architecture not team lead

Must have have experience in Databrick, Pyspark, AWS, SQL,Stakeholder and Team Management

Total experience-

Relevant Experience-

Current location-

Preferred location-

Current CTC-

Expected CTC

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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.