---
title: 'Sr. Business Intelligence Data Architect at Contentstack'
canonical: 'https://feeny.ai/job/sr-business-intelligence-data-architect-contentstack-netherlands-portugal-f7j4knkpb590'
type: 'job'
last_seen: '2026-10-27'
---

# Sr. Business Intelligence Data Architect at Contentstack

- **Company:** Contentstack
- **Location:** Netherlands / Portugal
- **Work type:** remote
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-27
- **Apply:** https://www.contentstack.com/company/careers/8045018003?gh_jid=8045018003

## 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’re looking for a Sr. Business Intelligence Data Architect to shape the analytical architecture, data modeling standards, and engineering practices that power enterprise reporting, governed metrics, and AI-enabled analytics at Contentstack.

In this high-impact role, you’ll establish scalable, reusable modeling frameworks across Snowflake and dbt, lead the implementation of governed semantic models, and partner with Data Engineering, BI & Analytics, Revenue Operations, Finance, and executive leadership to build a trusted foundation for data-driven decision-making.

If you’re passionate about modern analytics architecture, translating complex business needs into scalable solutions, and enabling the next generation of AI-powered analytics, we’d love to hear from you! Here's what you'll be doing:

- Lead analytical architecture and governance: Define enterprise modeling standards across staging, intermediate, dimensional, fact, semantic, and mart layers. Establish conventions for model grain, naming, ownership, lineage, and documentation, and lead architectural design reviews.
- Build governed data models and semantic layers: Design and implement reusable business entities, semantic models, and enterprise metrics that support consistent reporting, self-service analytics, applications, and AI-enabled workflows.
- Establish analytics engineering best practices: Set standards for dbt development, testing, Git workflows, CI/CD, deployment reliability, model performance, and observability to improve scalability and maintainability.
- Enable secure, reliable data access: Design governed access patterns for applications, AI agents, and self-service tools consuming Snowflake data, including role-based access control (RBAC), APIs, service layers, and query optimization.
- Partner across the business: Work closely with Data Engineering, BI & Analytics, Revenue Operations, Finance, and executive stakeholders to translate business requirements into trustworthy data models and scalable analytics solutions.
- Mentor and enable the team: Guide analytics engineers on modular architecture, semantic implementation, reusable modeling patterns, and modern analytics engineering practices.
- Drive platform evolution: Evaluate tools, semantic technologies, governance capabilities, and architectural improvements that support long-term scalability while reducing technical debt.

What Really Gets Us Excited About You

- 8-12 years of experience in data engineering, analytics engineering, or data architecture, including at least 3 years in an architect capacity with direct ownership of an analytical platform.
- Deep, hands-on expertise in Snowflake architecture, including virtual warehouse design, RBAC, materialization strategies, dynamic tables, and query performance optimization.
- Expert-level experience with dbt, including staging/intermediate/mart conventions, Jinja macros, incremental models, testing, documentation, and reusable modeling patterns.
- Strong understanding of dimensional and semantic modeling, with the ability to select and justify approaches based on business and analytical needs.
- Proven experience designing and deploying production semantic layers and governed metrics across BI platforms, analytics applications, and AI-enabled workflows, including text-to-SQL and MCP-based integrations.
- Advanced SQL skills and experience with Python, along with familiarity with dbt Cloud, Fivetran, Git, CI/CD, and cloud-native analytics environments.
- Experience designing secure data 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 explain architectural decisions to technical teams, executive leaders, and cross-functional stakeholders.
- Experience collaborating with globally distributed teams across the US, Europe, and India.
- Snowflake SnowPro Core or Advanced certification; dbt Certified Data Architect or Analytics Engineer certification.
- Experience with Snowflake Cortex and Snowpark ML for in-warehouse AI/ML workloads.
- Experience working with Salesforce as a source system, including dimensional modeling for go-to-market (GTM) data.
- Experience with retrieval-augmented generation (RAG) architectures that connect large language models to governed analytical data.
- Familiarity with BI tools such as Tableau, Looker, or Power BI.
- Experience implementing data governance frameworks, including data catalogs, column-level lineage, and row-level security.
- You value a fun, collaborative, and innovative culture!

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
- [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
- [Data Architect - Business Intelligence](https://feeny.ai/job/data-architect-business-intelligence-contentstack-bengaluru-z5ygvnkejxyg) — Bengaluru, India
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