Data Engineers - Databricks - Senior Manager

TymblHub; Hyderabad; On-site; INR 3,930,000 - 4,340,000; Full time

Job summary

PwC in Hyderabad is looking for a Senior Manager to lead data engineering efforts on Databricks-based client solutions, driving data modernization and scalable pipeline design.

You will architect cloud data platforms using Databricks, Azure Data Factory and Snowflake, model data and tune performance, while coordinating delivery across teams and communicating progress to client leaders.

Qualifications

• Experience leading data engineering workstreams for Databricks-based solutions.
• Proven ability to design and deploy scalable data pipelines and transformation logic.
• Hands-on with cloud data platforms (Databricks, Azure Data Factory, Snowflake) and data modeling.
• Strong written and verbal communication with clients and cross-functional teams.

Responsibilities

• Lead data engineering workstreams for Databricks-based client solutions.
• Design and build scalable data pipelines and transformation logic.
• Develop cloud data architectures using Databricks, Azure Data Factory, and Snowflake.
• Coordinate delivery across teams and translate business requirements into data solutions.
• Validate data quality, lineage, and transformations throughout development.
• Coach teams on data engineering methodologies and delivery planning.
• Present progress and options to client leaders clearly.

Skills

Databricks

Cloud data platforms

Pipelines design

Data modeling

Stakeholder communication

Leadership

Education

Management Information Systems

Computer Science

Systems Engineering

Tools

Databricks

Azure Data Factory

Snowflake

Azure

AWS

Job description

# Data Engineers - Databricks - Senior ManagerPwCPosted on October 10, 2026---Experience12 - 18 yrsSalary (CTC)₹39.3L - ₹43.4LJob LocationHyderabad, IndiaVacancy1DesignationSenior ManagerJob TypeNot specified---## Job Description**Responsibilities**- Leading data engineering workstreams for Databricks-based client solutions across data modernization initiatives - Designing and building scalable data pipelines, integration patterns, and transformation logic to support analytics and reporting needs - Developing cloud-based data architectures using Databricks, Azure Data Factory, Snowflake, and related platforms - Applying data modeling, warehouse design, and performance tuning methods to improve data availability and query response times - Coordinating technical delivery across teams and stakeholders to translate business requirements into data solutions - Validating data quality, lineage, and transformation logic throughout the development lifecycle - Guiding teams through complex implementation issues, tradeoffs, and dependencies across multiple workstreams - Coaching team members on data engineering methods, delivery planning, and technical problem solving - Presenting progress, risks, and solution options to client leaders in a clear and concise manner - Supporting the development of reusable frameworks and delivery approaches that improve efficiency across engagements**What Sets You Apart**- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics - Demonstrating Databricks platform experience across data engineering projects - Applying cloud data platform knowledge with Azure, AWS, or Snowflake - Leading client-facing data modernization work through complex delivery - Crafting data pipelines, modeling, and transformation solutions - Coaching teams through ambiguity while solving technical issues