Senior Cloud Engineer

Rockwell Automation; New Delhi; Hybrid; INR 4,000,000 - 6,500,000; Full time

Job summary

Rockwell Automation is seeking an experienced Senior Cloud Engineer to design, build, and support scalable cloud data solutions on Azure and AWS. You will work with Databricks, lakehouse patterns, and data transformation to enable FinOps and analytics.

You will collaborate with IT, Finance, architecture, and business teams to ensure secure, cost-effective, and enterprise-ready data platforms, mentoring engineers and shaping engineering standards.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Information Systems, or related field.
• 8+ years of experience in cloud engineering, data engineering, systems integration, or related technical roles.
• Advanced hands-on experience with Databricks, Spark, PySpark, SQL, and Python for enterprise-scale data transformation and pipeline development.
• Experience designing API ingestion patterns and integrating enterprise, vendor, application, and cloud platform data sources.
• Experience with cloud platforms Microsoft Azure and AWS.
• Experience with CI/CD, automation, monitoring, and Infrastructure as Code practices.
• English proficiency in written and spoken form for technical communication.
• Databricks, Microsoft Azure, AWS, or data engineering certifications required.

Responsibilities

• Lead the develop, and support of scalable cloud data solutions using Databricks, Azure, and AWS services.
• Architect and improve ETL/ELT pipelines, lakehouse patterns, and data transformation processes using Spark, PySpark, SQL, and Python.
• Develop and oversee secure API ingestion and integration patterns for internal, vendor, cloud, and enterprise data sources.
• Promote automation, monitoring, CI/CD, and Infrastructure as Code practices to improve platform reliability, repeatability, and operational efficiency.
• Partner with architecture, security, FinOps, analytics, and your team to ensure solutions are secure, governed, cost-effective, and enterprise-ready.
• Mentor engineers, establish reusable engineering standards, and provide technical leadership for cloud data platform delivery.

Skills

Databricks

Spark

PySpark

SQL

Python

Azure

AWS

CI/CD

Automation

IaC

APIs

Power BI

Education

Bachelor’s degree in CS/IT/Data Eng

Tools

Azure Databricks

Azure Data Factory

Azure Storage

Azure Functions

Azure Monitor

Azure Vault

Azure DevOps

GitHub

Terraform

CloudFormation

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 the work 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 Position Summary

The Senior Cloud Engineer focuses on cloud data platforms and integration, reports directly to the FinOps Technical Leader. The Senior Cloud Engineer is responsible for designing, building, and supporting scalable cloud-based data solutions across Azure and AWS. You will use your experience in Databricks, data transformation, API integration, automation, and cloud-native technologies. It develops secure, reliable, and cost-effective data platforms that support FinOps, reporting, AI plans, and business decision-making. The Senior Cloud Engineer partners with IT, Finance, architecture, and business teams to deliver and enhance enterprise data and automation solutions.

Responsibilities

• Lead the develop, and support of scalable cloud data solutions using Databricks, Azure, and AWS services.
• Architect and improve ETL/ELT pipelines, lakehouse patterns, and data transformation processes using Spark, PySpark, SQL, and Python.
• Develop and oversee secure API ingestion and integration patterns for internal, vendor, cloud, and enterprise data sources.
• Promote automation, monitoring, CI/CD, and Infrastructure as Code practices to improve platform reliability, repeatability, and operational efficiency.
• Partner with architecture, security, FinOps, analytics, and your team to ensure solutions are secure, governed, cost-effective, and enterprise-ready.
• Mentor engineers, establish reusable engineering standards, and provide technical leadership for cloud data platform delivery.

Basic Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, or a related field (or equivalent experience).
• 8+ years of experience in cloud engineering, data engineering, systems integration, or related technical roles.
• Advanced hands-on experience with Databricks, Spark, PySpark, SQL, and Python for enterprise-scale data transformation and pipeline development.
• Experience designing API ingestion patterns and integrating enterprise, vendor, application, and cloud platform data sources.
• Experience optimising cloud-native solutions within Microsoft Azure and Amazon Web Services (AWS).
• Experience with CI/CD, automation, monitoring, and Infrastructure as Code practices.
• English proficiency required, in written and spoken English with technical and your team.
• Technical work in a matrix environment.
• Must have skills : Experience with Azure services such as Azure Databricks, Azure Data Factory, Azure Storage, Azure Functions, Azure Vault, Azure Monitor, or related services.
• Experience with AWS services such as S3, Lambda, Glue, Athena, RDS, CloudWatch, or related services.
• Experience with Delta Lake, lakehouse architecture, data modelling, and enterprise data governance concepts.
• Experience with Azure DevOps, GitHub, Git, Terraform, Bicep, ARM templates, or CloudFormation.
• Experience supporting analytics platforms such as Power BI, Microsoft Fabric, Synapse, or similar reporting and data usage platforms.
• Understanding of cloud security practices, identity and access management, encryption, secrets management, and compliance requirements.
• Databricks, Microsoft Azure, AWS, or data engineering certifications required.
• Should resolve complex data, integration, or platform issues.

Hybrid Work Policy

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.

About Rockwell Automation

Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 28,000 problem solvers dedicated to our customers in more than 100 countries. To learn more about how we are bringing the Connected Enterprise to life across industrial enterprises, visit www.rockwellautomation.com. 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!