Manager Data Engineering

Role: Manager, Technology - Data, Analytics & AI
Summary

In this exciting role, you would:

• Own the health, performance, and growth of a multidisciplinary Data, Analytics & AI domains and Engineering team

• Create the conditions for sustainable high performance: clear direction, strong collaboration, and career

• Enable the team to turn business problems into robust solutions and actionable insights while maturing practices,

• Manage, coach, and develop a high-performing team (hiring, goal setting, feedback, growth planning).
• Partner with Tech Leadership, Product, and Business stakeholders to convert requirements into scalable data

• Participate in the development of the technical vision for your team including contributing to the long-term roadmap.
• Drive data quality, governance, documentation, lineage, and metric definitions; reduce redundancy.
• Set and enforce engineering and analytics best practices (coding standards, version control, peer review, CI/CD,

• Escalate and resolve complex technical and data issues; remove delivery blockers.
• Closely monitor status, identify and predict risks. Provide meaningful and actionable insights on progress.
• Manage project forecast and spending.
  

REQUIREMENTS AND QUALIFICATIONS

• 8+ years in data engineering / BI / analytics, including 3+ years directly managing teams. 2+ years of working

• Bachelor’s in Computer Science/Applications, Engineering, Information Technology/Systems, or equivalent

• Proven delivery of scalable data platforms and BI solutions in cloud (Azure preferred).
• Expertise with SQL, ELT/ETL patterns, dimensional & semantic modeling.
• Experience with Snowflake, Databricks, Data Factory, Oracle.
• Working knowledge of Python, Spark, Scala, and streaming technologies a huge plus.
• Strong BI development (Power BI and/or MicroStrategy) and performance tuning.
• Demonstrated governance: data quality frameworks, metadata, metric standardization.
• Solid grasp of software engineering practices (testing, code review, automation, DevOps).
• Excellent stakeholder management; able to translate between business and technical contexts.
• Track record of talent development and building collaborative, inclusive teams.
• Clear written and verbal communication; executive presentation capability.
  

Typical Success Metrics

• Team Health: Low regrettable attrition.
• Delivery Predictability: 80% of committed quarterly objectives delivered without quality regressions.
• Talent Growth: Documented progression for each team member; internal promotions / expanded scope.
• Operational Maturity: Reduction in unplanned urgent work and data incident frequency; improved cycle time.
• Stakeholder Trust: Positive satisfaction feedback (clarity, responsiveness, value realized).
• Adoption & Impact: Growth in usage of certified data products/dashboards and measurable business decisions

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.