--- title: 'Data Architect - Business Intelligence at Contentstack' canonical: 'https://feeny.ai/job/data-architect-business-intelligence-contentstack-bengaluru-z5ygvnkejxyg' type: 'job' last_seen: '2026-10-27' --- # Data Architect - Business Intelligence at Contentstack - **Company:** Contentstack - **Location:** Bengaluru, India - **Work type:** hybrid - **Posted:** 2026-06-19 - **Last confirmed live:** 2026-10-27 - **Apply:** https://www.contentstack.com/company/careers/7760912003?gh_jid=7760912003 ## Job description What is Contentstack? Contentstack 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. While 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. Leading 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. Learn more at [www.contentstack.com](http://www.contentstack.com/). Who Are We? At 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! What Are We Looking For? We are seeking a 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. ## Key Responsibilities Architectural Leadership and Governance ● Define 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. ● Establish standards for model grain declaration, naming conventions, ownership metadata, lineage, and documentation. ● Lead architectural design reviews for new modeling initiatives and analytical platform changes. ● Partner with Data Engineering teams to align ingestion patterns and source system architecture with downstream analytical requirements. Data Modeling and Semantic Layer ● Lead the design and technical implementation of governed business entities, semantic models, and enterprise metrics in partnership with BI andAnalytics. ● Design, implement, and enforce secure access patterns (APIs, RBAC, query design) for applications, AI agents, and self-service tools consuming Snowflake data through governed semantic models. ● Translate complex business requirements from Revenue Operations, Finance, and executive leadership into scalable, trustworthy data models and BI solutions. Analytics Engineering and Platform Enablement ● Establish and enforce scalable analytics engineering standards for dbt development, testing, deployment workflows, Git practices, CI/CD, model performance, observability, and deployment reliability. ● Partner with BI Data Engineering teams to improve model consistency, modularity, scalability, and long-term maintainability. ● Mentor analytics engineers on modular architecture, semantic implementation, reusable modeling patterns, and modern analytics engineering best practices. ● Evaluate and recommend tooling, governance capabilities, semantic technologies, and platform improvements that support scalability and reduce technical debt. Required Qualifications: ● 8+ 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. ● Deep, hands-on expertise with Snowflake architecture, including virtual warehouse design, RBAC, materialization strategies, dynamic tables, and query performance optimization. ● Expert-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. ● Demonstrated 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. ● Strong command of dimensional and semantic modeling concepts, with the ability to select and justify the appropriate modeling approach based on business and analytical requirements. ● Advanced SQL proficiency and experience with Python; familiarity with modern analytics tooling including dbt Cloud, Fivetran, Git/CI-CD workflows, and cloud-native analytics environments. ● Experience designing secure access patterns for applications consuming Snowflake data, including APIs, service layers, RBAC, query performance, and governed semantic access. ● Strong written and verbal communication skills with the ability to present architectural decisions to executive and cross-functional stakeholders. ● Snowflake SnowPro Core or Advanced certification strongly preferred. Preferred Qualifications: - Snowflake Cortex and Snowpark ML experience for in-warehouse AI/ML workloads. - Experience with Salesforce as a source system, including GTM dimensional modeling from CRM objects. - RAG architecture experience connecting LLMs to governed analytical data foundations. - Experience working with BI tools such as Tableau, Looker, or Power BI. - Experience with data governance frameworks including data catalogs, column-level lineage, and row-level security. Experience: 10-15 years Location: Bangalore/Chennai/Pune/Virar What Do We Offer? Interesting 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. Tribe 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. Bragging 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! One 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… To review our Privacy Policy, please click [here](https://www.contentstack.com/legal/privacy-notice-for-candidates/). ## About Contentstack ## Company Overview - **One-liner**: Contentstack provides a composable, headless content management system (CMS) now evolved into an Agentic Experience Platform (AXP) that unifies content, real-time data, and AI agents to enable hyper-personalized digital experiences. - **Entity Type**: Private (Series C) - **Headquarters**: Austin, Texas, United States - **Founded**: 2018 - **Founders**: Neha Sampat, Nishant Patel (co-founders) ## Core Business - **Primary Industry**: Digital Experience Platforms (DXP), Headless CMS, Content Management - **Target Customers**: B2B, Enterprise (Fortune 500 brands such as Air France-KLM, Mattel) - **Mission Statement**: “Driven by innovation and grounded in care, we enable the world’s best brands to reimagine possible.” - **Vision**: “The world’s best digital experiences run on Contentstack.” ## Products & Services - **Agentic Experience Platform (AXP)**: Unified platform combining a headless CMS, real-time customer data, and agentic AI to generate, translate, and personalize content at scale. - **Headless CMS**: API-first, cloud-based content management backend for omnichannel delivery. - **Contentstack Analytics**: Unified customer data and analytics for real-time journey orchestration. - **Intelligent Agents**: AI agents that use brand context and reasoning to automate content tasks. - **Asset Management**: Integrated DAM with automated tagging and file management. - **Front-End Hosting**: MACH-compliant, fully integrated hosting for faster content publishing. ## Market Standing - **Valuation**: Not publicly disclosed (PitchBook lists valuation data behind paywall; no public figure available). - **Key Metrics**: - **Annual Revenue**: $105 million (reported on LinkedIn). - **Total Funding**: $169 million across four rounds (Seed, Series A, B, C). - **Notable Investors & Partners**: Insight Partners (lead), Georgian, Ginger Bread Capital, Illuminate Ventures. - **Growth Signals**: - Employee count: 546 ( +2% YoY). - Operations in 16 countries (India, Netherlands, UK, Australia, France, etc.). - Named in The Forrester Wave™: Digital Experience Platforms, Q4 2025. - 80% faster content publishing reported by customers. ## Competitive Advantages - **Pioneer in Headless CMS**: One of the first to decouple content from presentation, now extended with AI agents. - **MACH-Compliant**: Microservices, API-first, Cloud-native, Headless – ensuring enterprise-grade agility. - **Agentic AI Integration**: “Agent OS” allows brands to deploy intelligent agents with brand context and guardrails. - **Strong Analyst Recognition**: Forrester Wave leader and trusted by Fortune 500 brands like Air France-KLM and Mattel. - **Global Scale**: Distributed engineering and sales teams across 16 countries. ## Strategic Focus - **Agentic Experience Platform (AXP)**: Transition from pure headless CMS to an AI-powered orchestration layer that unifies content, data, and agents. - **Personalization at Scale**: Using AI to generate, translate, and personalize content in real-time for hyper-relevance. - **Enterprise Adoption**: Deepening capabilities for large regulated industries (e.g., aviation, retail) while maintaining composability. ## Why Work Here - **Culture**: “One team, one dream” – founder-led, with a strong emphasis on care, diversity, and community. Values include “Grounded in Care,” “A Connected Tribe,” and “Diverse & Inclusive.” - **Remote/Hybrid**: Globally distributed team with offices in Austin, TX and Mumbai, India. Management trusts employees to work in ways that energize them (flexible remote/hybrid culture). - **Perks**: 16 hours of paid volunteer time annually, Contentstack Cares Month (March) for community service, sustainability program (3,800+ trees planted), Pledge 1% member (1% of staff time, product, equity to nonprofits). - **Engineering Culture**: API-first, headless architecture, modern tooling. Engineering represents 43% of workforce (291 employees). Strong talent sources from MACH Alliance, Raw Engineering, commercetools. - **Recognition**: Awarded for diversity, community impact, and workplace excellence. ## Sources 1. [contentstack.com – Careers](https://www.contentstack.com/company/careers) 2. [contentstack.com – About](https://www.contentstack.com/about) 3. [contentstack.com – Platform](https://www.contentstack.com/) 4. [LinkedIn – Contentstack](https://www.linkedin.com/company/contentstack) 5. [PitchBook – Contentstack Profile](https://pitchbook.com/profiles/company/230954-95) ## Other roles at Contentstack - [Senior Engineer I - QA](https://feeny.ai/job/senior-engineer-i-qa-contentstack-chennai-44sc5k53zyw7) — Chennai, India - [Sr. Business Intelligence Data Architect](https://feeny.ai/job/sr-business-intelligence-data-architect-contentstack-netherlands-portugal-f7j4knkpb590) — Netherlands / Portugal - [AI-Native Software Engineer](https://feeny.ai/job/ai-native-software-engineer-contentstack-chennai-779jq92zswwa) — Chennai, India - [Senior Engineer II - SRE (AI-First)](https://feeny.ai/job/senior-engineer-ii-sre-ai-first-contentstack-chennai-86q4vn6xns5w) — Chennai, India - [Principal Engineer - DevOps](https://feeny.ai/job/principal-engineer-devops-contentstack-pune-tmv1ez8n1xss) — Pune, India - [Sr. Partner Relationship Manager, Agencies](https://feeny.ai/job/sr-partner-relationship-manager-agencies-contentstack-united-states-r61edsz563rm) — United States - [Partner Engineer](https://feeny.ai/job/partner-engineer-contentstack-emea-r6pm9zqgtfj4) — EMEA - [Sr. Product Marketing Manager, Content Cloud](https://feeny.ai/job/sr-product-marketing-manager-content-cloud-contentstack-united-states-0rye1jg9qdes) — United States - [Business Development Representative - EMEA - German Speaking](https://feeny.ai/job/business-development-representative-emea-german-speaking-contentstack-amsterdam-ngdvbxvr53fv) — Amsterdam, Netherlands