Manager – Data & Analytics

N Human Resources & Management Systems; Dehradun; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

N Human Resources & Management Systems in Dehradun seeks a hands-on Manager – Data & Analytics to lead data engineering teams, architect solutions, and mentor engineers. The role combines technical leadership with people management and client-facing responsibilities to deliver high-impact analytics solutions.

You will design scalable data pipelines, review architectures, and drive cloud-based modernization initiatives while collaborating with clients and stakeholders.

Qualifications

• Hands-on technical leader with strong Data Engineering experience and people management capabilities.
• Experience designing and implementing scalable data pipelines in cloud environments.
• Proficiency in client interactions, project delivery, and solution architecture.

Responsibilities

• Lead and mentor Data Engineering teams.
• Design and develop scalable data pipelines.
• Review architecture and technical solutions.
• Collaborate with customers and internal stakeholders.
• Manage project delivery and team performance.
• Drive technical excellence and best practices.
• Support cloud migration and modernization initiatives.
• Participate in solution discussions and client presentations.

Skills

Technical Leadership

People Management

Data Engineering

Azure Databricks

Apache Spark

Python

SQL

ETL

Azure Data Factory

Cloud Technologies

Client Management

Tools

Azure Databricks

Apache Spark

Python

SQL

ETL

Azure Data Factory

Cloud Technologies

Job description

Manager – Data & Analytics

Job Title

Manager – Data & Analytics

Location

Dehradun

Employment Type

Full-Time

Job Summary

We are looking for a hands-on technical leader with strong Data Engineering experience and people management capabilities. The role requires leading engineering teams while remaining actively involved in solution architecture, client interactions, project delivery, and technical mentoring.

Key Responsibilities

• Lead and mentor Data Engineering teams.
• Design and develop scalable data pipelines.
• Review architecture and technical solutions.
• Collaborate with customers and internal stakeholders.
• Manage project delivery and team performance.
• Drive technical excellence and best practices.
• Support cloud migration and modernization initiatives.
• Participate in solution discussions and client presentations.

Required Skills

• Technical Leadership
• People Management
• Data Engineering
• Azure Databricks
• Apache Spark
• Python
• SQL
• ETL
• Azure Data Factory
• Cloud Technologies
• Client Management

Preferred Qualifications

• Experience managing engineering teams.
• Strong customer-facing communication.
• Experience in enterprise Data Engineering projects.