{"id":3274659,"url":"https://alion.io/job/content-stack-data-architect-business-intelligence","title":"Data Architect - Business Intelligence","company":{"id":1774154,"name":"Content Stack","domain":"contentstack.com","url":"https://alion.io/company/contentstack-com","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Git","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Cortex","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Looker","optional":true},{"name":"Power BI","optional":true},{"name":"Prometheus","optional":true},{"name":"RAG","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-06-19T10:57:25Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-29T05:02:10Z","board_verified":true,"closed_at":null,"days_open":131,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":131},"description":"What is Contentstack?\nContentstack is redefining how modern digital experiences are built and managed. As the pioneer of the Agentic Experience Platform (AXP), Contentstack brings together structured content and brand governance (Content Cloud), real-time customer data, omnichannel personalization (Data Cloud) and autonomous AI orchestration (Agent OS) into one unified system.\nWhile many organizations adopted headless CMS or standalone AI tools expecting transformation, they often found themselves managing disconnected systems and manual workflows. Contentstack helps enterprises move beyond that complexity by connecting content, data and AI in a way that makes digital experiences faster to launch, easier to manage and more adaptive in real time.\nLeading brands including Steve Madden, LG Electronics, Subaru of America, Dolce & Gabbana, ASICS, Decathlon, and Caesars Entertainment rely on Contentstack to reduce operational friction and deliver personalized, scalable digital experiences with confidence. The company is known for its customer-first culture and commitment to the communities it serves through the Contentstack Cares program.\nLearn more at www.contentstack.com.\nWho Are We?\nAt Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let’s go!\nWhat Are We Looking For?\nWe are seeking a Senior BI Data Architect to lead the analytical modeling architecture and engineering standards that power reporting, semantic modeling, and AI-enabled analytics across the enterprise. In this high-impact role, you will establish scalable modeling patterns and reusable frameworks across Snowflake and dbt while partnering with leadership to operationalize governed metrics and long-term analytics strategy through architectural implementation best practices.\nKey Responsibilities\nArchitectural Leadership and Governance\nDefine and govern enterprise analytical architecture standards and scalable modeling frameworks across all layers (staging, intermediate, dimensional, fact, semantic, and mart layers), leveraging Snowflake and dbt.\nEstablish standards for model grain declaration, naming conventions, ownership metadata, lineage, and documentation.\nLead architectural design reviews for new modeling initiatives and analytical platform changes.\nPartner with Data Engineering teams to align ingestion patterns and source system architecture with downstream analytical requirements.\n Data Modeling and Semantic Layer\nLead the design and technical implementation of governed business entities, semantic models, and enterprise metrics in partnership with BI andAnalytics.\nDesign, implement, and enforce secure access patterns (APIs, RBAC, query design) for\napplications, AI agents, and self-service tools consuming Snowflake data through governed\nsemantic models.\nTranslate complex business requirements from Revenue Operations, Finance, and executive leadership into scalable, trustworthy data models and BI solutions.\nAnalytics Engineering and Platform Enablement\nEstablish and enforce scalable analytics engineering standards for dbt development, testing, deployment workflows, Git practices, CI/CD, model performance, observability, and deployment reliability.\nPartner with BI Data Engineering teams to improve model consistency, modularity, scalability, and long-term maintainability.\nMentor analytics engineers on modular architecture, semantic implementation, reusable modeling patterns, and modern analytics engineering best practices.\nEvaluate and recommend tooling, governance capabilities, semantic technologies, and platform improvements that support scalability and reduce technical debt.\nRequired Qualifications:\n8+ years in data engineering, analytics engineering, or data architecture roles, with at least 3 years operating in a senior or lead architect capacity with direct analytical platform ownership.\nDeep, hands-on expertise with Snowflake architecture, including virtual warehouse design, RBAC, materialization strategies, dynamic tables, and query performance optimization.\nExpert-level dbt Labs practitioner with experience in staging/intermediate/mart conventions, Jinja macros, incremental strategies, testing frameworks, documentation, and reusable modeling patterns; dbt Certified Data Architect or Analytics Engineer certification preferred.\nDemonstrated experience designing and deploying production semantic layers serving governed metrics across BI platforms, analytics applications, and AI-enabled analytics workflows, including text-to-SQL and MCP-based analytics integrations.\nStrong command of dimensional and semantic modeling concepts, with the ability to select and justify the appropriate modeling approach based on business and analytical requirements.\nAdvanced SQL proficiency and experience with Python; familiarity with modern analytics tooling including dbt Cloud, Fivetran, Git/CI-CD workflows, and cloud-native analytics environments.\nExperience designing secure access patterns for applications consuming Snowflake data, including APIs, service layers, RBAC, query performance, and governed semantic access.\nStrong written and verbal communication skills with the ability to present architectural decisions to executive and cross-functional stakeholders.\nSnowflake SnowPro Core or Advanced certification strongly preferred.\nPreferred Qualifications:\nSnowflake Cortex and Snowpark ML experience for in-warehouse AI/ML workloads.\nExperience with Salesforce as a source system, including GTM dimensional modeling from CRM objects.\nRAG architecture experience connecting LLMs to governed analytical data foundations.\nExperience working with BI tools such as Tableau, Looker, or Power BI.\nExperience with data governance frameworks including data catalogs, column-level lineage, and row-level security.\nExperience: 10-15 years\nLocation: Bangalore/Chennai\nWhat Do We Offer?\nInteresting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the “challenge yourself” role where you learn something new every day, never stop growing, and have fun while you’re doing it. \nTribe Vibe | We are more than colleagues, we are a tribe. We have a strict “no a**hole policy” and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected.\nBragging Rights |We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more!\nOne Team One Dream |This is one of our values, and it shows. We don’t believe in artificial hierarchies. If you’re part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it’s a great time to be joining…\nTo review our Privacy Policy, please click here.","description_format":"text","description_chars":7786,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["CMS & Digital Experience Platforms","Marketplaces","Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-10-26T13:40:33Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.326,"p_room":0.28,"age_days":131,"expected_fill_days":32,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/content-stack-data-architect-business-intelligence","json_url":"https://alion.io/job/content-stack-data-architect-business-intelligence.json","meta":{"generated_at":"2026-10-29T06:45:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10283,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1774154},"rest":"https://alion.io/mcp/rest/get_company?id=1774154"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcontent-stack-data-architect-business-intelligence"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcontent-stack-data-architect-business-intelligence"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcontent-stack-data-architect-business-intelligence"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/content-stack-data-architect-business-intelligence\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcontent-stack-data-architect-business-intelligence"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3274659}},{"tool":"search_jobs","arguments":{"company":"contentstack.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3274659},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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