Data Platform Engineer

Rockwell Automation; New Delhi; Hybrid; INR 2,400,000 - 4,000,000; Full time

Benefits offered by this job

Calm premium mindfulness program

Volunteer paid time off

Donations matching program

Employee Assistance Program

OnTrack wellbeing program

Online learning library

Job summary

Rockwell Automation is seeking a Senior Data Platform Engineer to design, develop, and deliver scalable data solutions for the Enterprise Data Platform. You will work on canonical data models and data services across the organization in a hybrid setup.

The role requires expertise in Azure SQL, data modeling, and enterprise data integration with modern Azure data services. Collaboration with multiple teams and stakeholders is essential for success.

Qualifications

• Bachelor's degree or equivalent experience in computer science, information systems, software engineering or related field
• Strong experience with Azure SQL Database, SQL Server, T-SQL, relational design, and data modeling
• Experience designing and implementing enterprise-scale data integration and transformation solutions
• Familiar with SDLC and Agile delivery methodologies
• Experience with Azure DevOps, Git, CI/CD pipelines, and deployment automation
• Strong understanding of database performance tuning, schema versioning, and platform engineering best practices
• Ability to make architectural trade-offs and deliver scalable data solutions that meet evolving business needs

Responsibilities

• Design, develop, and maintain relational and canonical data models
• Build and optimize data pipelines using Azure PaaS services
• Develop high-quality, performant T-SQL code and optimize database performance
• Architect data structures and pipelines to enable Data as a Service
• Collaborate with integration teams to define data contracts and interfaces
• Evolve the CDM/CDL platform using Azure Databricks, Delta Lake, ADLS, Fabric, ADF, and related services
• Manage CI/CD pipelines, release processes, and deployment automation
• Support containerization and cloud-native deployment practices
• Work with stakeholders to understand requirements and deliver high-quality enterprise data solutions

Skills

Relational data modeling

Data engineering

SDLC & Agile

Data contracts & governance

Education

Bachelor's degree in CS/IS/Software Engineering or related field

Tools

Azure DevOps

Git

CI/CD pipelines

Deployment automation

Azure Databricks

Delta Lake

Azure Data Factory

Microsoft Fabric

Azure Data Lake Storage

Job description

Job Description:

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility -our people are energized problem solvers that take pride in how thework we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Job Description

Data Platform Engineer – Enterprise Common Data Model / Common Data Layer (CDM/CDL)

Pune / Bangalore / Noida, India

Position Summary

As a Senior Data Platform Engineer – Enterprise Common Data Model/Common Data Layer (CDM/CDL), you will design, develop, and deliver scalable data management solutions that power Rockwell Automation's Enterprise Data Platform. You will report to the Technical Leader – CDM/CDL and work in a hybrid capacity.

You will collaborate with technical leads, analysts, architects, integration teams, product owners, and business stakeholders to build and evolve enterprise data products, canonical data models, and scalable data services that enable trusted, reusable, and governed data across the organization.

Your Responsibilities

• Design, develop, and maintain relational and canonical data models using Azure SQL Database, including tables, views, stored procedures, functions, keys, constraints, and indexes.
• Develop high-quality, performant T-SQL code and optimize database performance through query tuning, indexing strategies, dependency analysis, and controlled schema management.
• Design, build, test, and maintain data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS services and DevOps methodologies.
• Architect data structures and pipelines that enable "Data as a Service" capabilities across business units while ensuring scalability, reliability, security, and performance.
• Collaborate with integration teams to define data contracts, database interfaces, and enterprise integration patterns.
• Contribute to the evolution of the CDM/CDL platform using technologies such as Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Microsoft Fabric, Azure Data Factory, and Azure Integration Services.
• Manage CI/CD pipelines, release processes, and deployment automation using Azure DevOps and Git-based workflows.
• Support containerization and cloud deployment practices that enable scalable and resilient platform operations.
• Work closely with analysts, product owners, architects, and business stakeholders to understand requirements and deliver high-quality enterprise data solutions.
• Support data governance, data quality, metadata management, and enterprise architecture initiatives.

The Essentials – You Will Have

• Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related field, or equivalent relevant work experience.
• Strong experience in Azure SQL Database, SQL Server, T-SQL programming, relational database design, and data modeling.
• Experience designing and implementing enterprise-scale data integration and transformation solutions.
• Experience across the full software development lifecycle (SDLC) and Agile delivery methodologies.
• Experience with Azure DevOps, Git, CI/CD pipelines, and deployment automation.
• Strong understanding of database performance tuning, schema versioning, and platform engineering best practices.
• Make architectural trade-offs and deliver scalable solutions that meet evolving business needs.

The Preferred – You Might Also Have

• 5+ years of experience in Data Engineering, Data Platform Engineering, Software Engineering, or related disciplines.
• Experience with modern Azure data platform technologies including Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Microsoft Fabric, and Azure Integration Services.
• Experience building enterprise common data models, canonical data models, or master data solutions.
• Experience working with business stakeholders to translate business requirements into scalable data solutions.
• Familiarity with Data as a Service (DaaS), data governance, data quality, and metadata management practices.
• Experience with containerization and cloud-native deployment architectures.
• Strong analytical and problem-solving skills with the ability to simplify complex technical concepts.
• Experience working in a global enterprise environment with cross-functional teams.
• Exposure to enterprise architecture frameworks and large-scale platform modernization initiatives.

What We Offer:

Our benefits package includes:

• Comprehensive mindfulness programmed with a premium membership to Calm
• Volunteer Paid Time Off available after 6 months of employment
• Company volunteer and donation matching programme
• Employee Assistance Program
• Personalised wellbeing programmed through our OnTrack programmed
• On-demand digital course library for professional development
• ... and other local benefits!

At Rockwell Automation, we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply. You may be just the right person for this or other roles.

#LI-Hybrid

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Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.