About Williams-Sonoma, Inc.
Founded in 1956 and headquartered in San Francisco, California, Williams-Sonoma, Inc. is a Fortune 500, digital first, multi-channel specialty retailer. Our company vision is to own the home, and the places where our customers work, stay, and play. We bring the latest home furnishing trends to life for customers through the individual lenses of our ten distinct brands, each serving different life stages and rooms of the home and beyond. Our brands include Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn Kids, Pottery Barn Teen, West Elm, Rejuvenation, Mark & Graham, GreenRow, and Dormify. We are committed to sustainability, continuously working to protect our planet, while building an open and collaborative culture across our organization.
With more than 500 retail stores globally and multiple international franchise operations, technology is a core driver of our business strategy. We build and operate in-house platforms powering e-commerce, supply chain, merchandising, analytics, and customer experience ecosystems worldwide.
Engineers at the Williams-Sonoma India Technology Center build and scale digital commerce platforms that power these global brands, serving millions of customers worldwide.
We are looking for a highly motivated DataOps / DevOps Engineer to build and scale reliable, automated, and efficient deployment pipelines across our modern data platform. This role focuses on enabling seamless collaboration between Data Engineering, Analytics, and AI/ML teams by implementing strong DevOps and DataOps practices, ensuring platform reliability, observability, governance, and operational excellence.
You will be responsible for implementing CI/CD workflows, deployment automation, monitoring, infrastructure reliability, and operational support for batch and real-time data ecosystems in a cloud-based Azure environment. This role plays a critical part in supporting analytics, AI/ML, and enterprise-scale data initiatives across the organization.
Impact of the Role
• Build and scale reliable, automated, and efficient deployment pipelines across the modern data platform.
• Enable seamless collaboration between Data Engineering, Analytics, and AI/ML teams.
• Ensure platform reliability, observability, governance, and operational excellence.
• Support analytics, AI/ML, and enterprise-scale data initiatives across the organization.
Technology Platforms You Will Work On
• Azure cloud platform
• Azure DevOps
• Azure Data Factory
• Databricks
• Data Lake
• Airflow
• Dagster
• Jenkins
• GitHub Actions
• Spark
• Kafka
• Snowflake
• SQL
• Python/Shell scripting
• Linux system operations
• Prometheus
• Grafana
• Terraform
• ARM templates
• Azure Bicep
• Delta Lake / Lakehouse architecture
• Kubernetes
• Containerization
• Cloud-native deployment practices
Key Responsibilities
• Implement and manage CI/CD pipelines for data workflows, including automated testing, deployment, rollback, and version control.
• Build and scale reliable, automated, and efficient deployment pipelines for data and AI/ML platforms.
• Support deployment and operationalization of batch and real-time data systems in collaboration with Data Engineering teams.
• Manage and optimize orchestration and workflow tools such as Airflow, Azure Data Factory, or equivalent platforms.
• Ensure platform reliability through robust monitoring, logging, alerting, and observability frameworks.
• Define and manage SLAs/SLOs, ensuring uptime, stability, and operational performance of data platforms.
• Optimize cloud infrastructure and workloads for performance, scalability, and cost efficiency.
• Support distributed systems and large-scale processing platforms using technologies such as Spark, Kafka, and Snowflake.
• Collaborate with Data Engineers, ML Engineers, Data Scientists, and Analysts to enable production-ready data and AI solutions.
• Support deployment and operational management of AI/ML Ops pipelines and model lifecycle workflows.
Qualifications
• 1–3 years of experience in DataOps, DevOps, Platform Engineering, or Cloud Engineering roles.
• Strong understanding of CI/CD concepts, deployment automation, and DevOps best practices.
• Hands-on experience with Azure cloud platform (Azure DevOps, Data Factory, Databricks, Data Lake, etc.) or equivalent cloud ecosystems.
• Experience with CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions.
• Familiarity with big data and distributed systems such as Spark, Kafka, and Snowflake.
• Strong proficiency in SQL, Python/Shell scripting, and Linux system operations.
• Experience with monitoring and observability tools such as Prometheus, Grafana, or equivalent.
• Strong troubleshooting, debugging, and operational support skills.
• Experience with Airflow/Dagster and workflow orchestration platforms.
• Exposure to AI/ML Ops pipelines, model deployment workflows, and feature engineering support.
• Knowledge of Infrastructure as Code (IaC) using Terraform, ARM templates, or Azure Bicep.
• Understanding of Delta Lake / Lakehouse architecture.
• Familiarity with data quality, governance, lineage, and cataloging frameworks.
• Exposure to Kubernetes, containerization, and cloud-native deployment practices.
Why Join Williams-Sonoma India Technology Center
• Our people first and performance driven culture means that we provide opportunities to grow and build a career and invest in the well-being of our associates, including comprehensive benefits to support you and your family.
• Scale and innovation of a Fortune 500 company combined with a high-ownership that empowers engineers to make real impact.
• Build and operate large-scale digital commerce platforms serving millions of customers worldwide, working on systems that run at global scale.
• Continuous learning environment with opportunities to work on cutting-edge technologies, AI-driven solutions, and large-scale engineering challenges.
• Hybrid work model designed for flexibility and collaboration, with two in-office days for team engagement.
Williams-Sonoma India Pvt. Ltd.
Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home, Rejuvenation, and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogs and online worldwide.
Williams-Sonoma India sourcing office was established in 2013. We are based in Gurugram, India. We are sourcing premium products across all categories of Home Furnishing and recorded double digit year-on-year growth. We have a dynamic team of over 100 members handling versatile vendors across India, Nepal & Bangladesh. We are looking to onboard talented people and create successful professional journey.
Founded in 1956, Williams-Sonoma, Inc. is the premier specialty retailer of high-quality products for the home. Our family of brands includes Williams Sonoma, Pottery Barn, Pottery Barn Kids, PBteen, West Elm, Williams-Sonoma Home, Rejuvenation, and Mark and Graham. These brands are among the best known and most respected in the industry. We offer beautifully-designed, stylish and functional products for every area of the home, including the kitchen, living room, bedroom, home office, closet, laundry room, and even outdoor spaces. We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. What hasn't changed is our passion for high-quality products, functional design, outstanding customer service, and enhancing the lives of our customers and the communities where we operate. Today, we're a multi-brand, multi-channel, global enterprise supported by state-of-the-art technology and some of the most talented teams in retailing - and we're always looking for new energy and ideas.
