{"id":2511510,"url":"https://alion.io/job/williams-sonoma-sr-software-engineer-sr-bi-engineer","title":"Sr. Software Engineer - Sr. BI Engineer","company":{"id":1885338,"name":"Williams-Sonoma","domain":"williams-sonomainc.com","url":"https://alion.io/company/williams-sonomainc","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":77,"open_postings":77,"ghost_share":0,"stale_share":0.935,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":25000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MicroStrategy","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-10-14T06:38:59Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T03:21:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Senior Business Intelligence Engineer\nAbout Williams-Sonoma, Inc.\nFounded 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.\nWith 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.\nEngineers at the Williams-Sonoma India Technology Center build and scale digital commerce platforms that power these global brands, serving millions of customers worldwide.\nRole Overview\nWe are looking for a Senior Business Intelligence Engineer who can turn complex data into simple and meaningful business insights.\nLocation: Pune, India\nYou will work closely with business teams, Product Managers, Data Engineers, Data Scientists, and other technology teams to understand business needs and build scalable reporting and analytics solutions.\nThe role requires strong hands-on experience in Power BI, SQL, Snowflake, and MicroStrategy, along with a good understanding of Databricks and modern data platforms.\nWe are also looking for someone who understands how Business Intelligence is evolving, especially how strong semantic models can support AI-assisted and natural-language analytics.\nImpact of the Role\nUnderstand the business meaning behind the data, ask the right questions, and build reporting solutions that business teams can trust and easily use.\nTake ownership, solve complex reporting problems, work directly with business and engineering teams, and help improve the overall BI platform.\nContribute to how business users will interact with enterprise data in the future as Business Intelligence continues to move toward semantic models, conversational analytics, and AI-assisted reporting.\nTechnology Platforms You Will Work On\nPower BI, DAX, Power Query, Power BI Copilot, and Microsoft Fabric\nMicroStrategy, Intelligent Cubes, REST APIs, SDK-based integrations, and System Manager\nSQL, Snowflake, Azure Databricks, and Delta Lake\nAzure Data Factory (ADF), Azure Blob Storage, and Azure DevOps\nPython, PySpark, and Apache Spark\nApache Kafka and other streaming technologies\nAI agents, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and natural-language analytics\nCI/CD pipelines and Dev, QA, and Production environments\nKey Responsibilities\nDesign and develop scalable Power BI dashboards, reports, and analytical solutions.\nBuild and maintain business semantic models with clear measures, dimensions, relationships, KPIs, and business definitions.\nDevelop and maintain MicroStrategy reports, dashboards, scorecards, and reporting solutions.\nDesign and work with MicroStrategy schema objects such as attributes, facts, hierarchies, relationships, metrics, filters, prompts, consolidations, and custom groups.\nWork with MicroStrategy projects, Intelligent Cubes, caching, aggregate tables, and VLDB settings to improve reporting performance.\nWrite and optimize complex SQL queries across large enterprise datasets.\nWork with Snowflake, Azure Databricks, Delta Lake, and other enterprise data platforms.\nUnderstand business requirements and convert them into clear data models, semantic models, reports, and analytical solutions.\nBuild solutions using good data modeling practices, including fact and dimension models, star schemas, and snowflake schemas.\nImprove dashboard, SQL, semantic model, and reporting performance.\nWork with business teams to define and maintain consistent business metrics, KPIs, definitions, and calculation logic.\nUnderstand how AI agents and natural-language analytics can work on top of a governed business semantic layer.\nAdd meaningful metadata, descriptions, synonyms, relationships, and business context so AI-based analytics can interpret business questions correctly.\nWork with Data Engineering and AI teams to ensure AI-assisted analytics uses trusted and governed enterprise data.\nEnsure data quality, security, access control, lineage, and consistency across reporting solutions.\nTroubleshoot production issues, perform root cause analysis, and provide long-term fixes.\nSupport deployments and production releases across reporting platforms.\nReview solutions developed by other engineers and help maintain good engineering standards.\nMentor junior engineers and share knowledge and best practices across the team.\nTake ownership of solutions from requirement understanding through design, development, testing, deployment, and production support.\nQualifications\n5+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a similar role.\nStrong hands-on experience with Power BI, including semantic models, DAX, Power Query, and performance optimization.\nStrong hands-on experience with MicroStrategy reporting and dashboard development.\nGood understanding of MicroStrategy schema objects, metrics, filters, prompts, Intelligent Cubes, caching, and performance tuning.\nStrong SQL skills with experience working with large enterprise datasets.\nGood hands-on experience with Snowflake.\nExperience working with Azure Databricks / Delta Lake or similar modern data platforms.\nStrong understanding of data warehousing and dimensional modeling, including fact tables, dimensions, star schemas, and snowflake schemas.\nGood understanding of semantic layers, business measures, KPIs, metadata, and relationships.\nExperience with report and query performance optimization.\nUnderstanding of data quality, governance, security, lineage, and Role-Based Access Control (RBAC).\nAbility to troubleshoot complex reporting and data issues independently.\nAbility to work directly with business users and translate business questions into technical solutions.\nGood communication and problem-solving skills.\nBachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.\nGood to Have\nExperience with Azure Data Factory (ADF) for building simple ETL/ELT and reporting pipelines.\nAbility to use ADF to move data from source systems to Azure Blob Storage or other cloud storage.\nUnderstanding of ADF linked services, parameters, variables, and environment-specific configurations.\nExposure to deploying ADF resources across Dev, QA, and Production using Azure DevOps and CI/CD.\nExperience with Microsoft Fabric and Power BI Copilot.\nBasic understanding of how LLMs, RAG, and AI agents can work with enterprise data and business semantic models.\nExperience with Python, PySpark or Apache Spark.\nExposure to Apache Kafka or other streaming technologies.\nExperience with MicroStrategy REST APIs or SDK-based integrations.\nExposure to MicroStrategy administration or System Manager activities.\nExperience working with retail, e-commerce, supply chain, merchandising, customer, or finance data would be an advantage.\nWhy Join Williams-Sonoma India Technology Center\nOur 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.\nScale and innovation of a Fortune 500 company combined with a high-ownership that empowers engineers to make real impact.\nBuild and operate large-scale digital commerce platforms serving millions of customers worldwide, working on systems that run at global scale.\nContinuous learning environment with opportunities to work on cutting-edge technologies, AI-driven solutions, and large-scale engineering challenges.\nHybrid work model designed for flexibility and collaboration, with two in-office days for team engagement.","description_format":"text","description_chars":8353,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Furniture","Home Decor","Kitchenware & 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