--- title: 'Azure Data Architect - R01570205 at Brillio' canonical: 'https://feeny.ai/job/azure-data-architect-r01570205-brillio-bengaluru-exrk7mrswtbm' type: 'job' last_seen: '2026-09-07' --- # Azure Data Architect - R01570205 at Brillio - **Company:** Brillio - **Location:** Bengaluru, India - **Work type:** hybrid - **Posted:** 2026-08-21 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/brillio-2/662400b1-1e3b-4e3d-8338-2574ee6a9e34 ## Job description Azure Data Architect ## Experience- 10 to 18 yrs Notice - Immediate preferred Skills- Azure Suite, Fabric, Primary Skills - SQL Server, Stream Analytics, CosmosDB, ETL Fundamentals, Purview, SQL, Event Hub, SQL (Basic + Advanced), Python, Data Warehousing, ADLS G2, AZure Monitoring, Synapse, Data Factory, Logic App, Modern Data Platform Fundamentals, Databricks, Data Explorer, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures, Blob Specialization - Azure Data Architecture: Data Architect Job requirements - Experience Range: - 10  to 18 years of experience, including substantial hands-on expertise delivering Azure Synapse Analytics to Microsoft Fabric migration projects, with direct involvement in migration planning, execution, validation, performance tuning, cutover, and post-migration optimization. - - Key Responsibilities: - 1. Lead the end-to-end migration of Azure Synapse Analytics environments to Microsoft Fabric, ensuring seamless transition and minimal business disruption. - 2. Develop comprehensive migration strategies encompassing planning, execution, validation, cutover, and post-migration optimization. - 3. Implement and optimize data pipelines using Azure Data Factory, Databricks, and related ETL technologies to support migration and ongoing operations. - 4. Design, model, and maintain modern data warehousing solutions leveraging SQL Server, Azure Data Lake Storage Gen2, CosmosDB, and Blob storage. - 5. Monitor, troubleshoot, and tune the performance of data integration and analytics solutions throughout the migration lifecycle. - 6. Collaborate with cross-functional teams to ensure data integrity, security, and compliance across all stages of the migration. - 7. Utilize Azure Monitoring and Purview to ensure robust governance, lineage, and observability of data assets during and after migration. - 8. Document architecture, processes, and best practices to support knowledge transfer and operational excellence post-migration. - - Required Skills: - 1. Hands-on experience with Azure Synapse Analytics to Microsoft Fabric migration projects - 2. Advanced proficiency in SQL Server and T-SQL - 3. Expertise in Azure Data Factory for ETL pipeline development - 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) - 5. Experience with CosmosDB for data modeling and integration - 6. Strong skills in Python for data engineering tasks - 7. Proficiency in Databricks and Stream Analytics - 8. Experience with Event Hub and Logic App for event-driven data architectures - 9. Expertise in Microsoft Purview for data governance - 10. Working knowledge of Azure Monitoring and Data Explorer - - Preferred Skills: - 1. Experience with advanced data orchestration in Microsoft Fabric - 2. Knowledge of cloud-native data platform architectures - 3. Expertise in implementing stored procedures for complex data transformation 4. Familiarity with large-scale data environment management - - Desired Qualifications: - 1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline - 2. Microsoft Certified: Azure Solutions Architect Expert or equivalent certification - 3. Microsoft Certified: Azure Data Engineer Associate or similar certification ## About Brillio ## Company Overview - **One-liner**: Brillio is a digital transformation consulting and technology services company that helps Fortune 1000 enterprises accelerate AI adoption and scale impact through its AI accelerator platform, ADAM. - **Entity Type**: Private (backed by Bain Capital Private Equity) - **Headquarters**: Dallas, Texas, United States - **Founded**: 2014 - **Founders**: Not publicly disclosed (CEO: Raj Mamodia) ## Core Business - **Primary industries**: IT Services and IT Consulting; Digital Transformation; AI and Data Engineering; Customer Experience Transformation; Digital Engineering; Infrastructure Engineering - **Target customers**: Fortune 1000 enterprises (B2B, Enterprise) - **Mission / purpose statement**: “The Enterprise AI Accelerator” – helping companies move from AI ambition to scaled impact, faster. ## Products & Services - **ADAM (Agentic Data and Application Management)**: A self-service LLM model garden and GenAI platform for building, testing, and deploying over a hundred GenAI use cases at scale. Core accelerator for Brillio’s delivery. - **Business-led transformation**: Strategy consulting and business process modernization. - **Customer experience transformation**: Design, digital product engineering, and omnichannel experience. - **AI and data engineering**: Predictive models, enterprise search, RAG systems, AI copilots, autonomous agents, multi-agent workflows. - **Digital engineering**: Application modernization, platform engineering, cloud-native development. - **Infrastructure engineering**: Cloud infrastructure, security, MLOps/LLMOps, and observability. ## Market Standing - **Valuation / Market Cap**: Not disclosed (privately held) - **Key Metric**: Annual revenue reported at **$1B** (latest available); total employees ~3,941 (+6.7% YoY) per LinkedIn, though company claims “over 6,000 customer-obsessed professionals” on its website. - **Notable Investors / Partners**: Bain Capital Private Equity (parent company); Great Place to Work® certified in the USA. - **Growth Signals**: +352 employees YoY; 14 delivery locations across North America, Europe, and Asia; expanding AI engineering roles; 616,797 LinkedIn followers (+24.4% yearly growth). ## Competitive Advantages - **Enterprise AI focus**: Industrializing AI across every layer of the business – not just building demos but shipping production systems. - **ADAM platform**: Proprietary accelerator that enables rapid deployment of GenAI use cases, shortening time-to-value for clients. - **End-to-end ownership**: Engineers design, build, evaluate, and run agentic and GenAI systems that reach live users. - **Scale and reach**: Global delivery footprint (USA, India, UK, Europe, Mexico, Canada, Romania) with deep Fortune 1000 client relationships. ## Strategic Focus - **AI engineering at scale**: Moving AI from pilots to production with a focus on agentic systems, LLMOps, evaluation, security, and governance. - **Continuous learning**: Brillio Academy, hackathons, mentoring, and certifications to keep skills current. - **Talent development**: Hiring based on demonstrated ability (not just degrees); clear career paths from engineer to AI architect or technical leadership. - **Diversity & inclusion**: Committed to a diverse, inclusive workplace; no discrimination based on protected characteristics. ## Why Work Here - **Culture**: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA. - **Work environment**: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams. - **Learning & growth**: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects. - **Remote / hybrid / office**: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries). - **Benefits**: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development. - **Interview process**: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped. ## Sources 1. [careers.brillio.com](https://careers.brillio.com/) 2. [brillio.com/about-us/who-we-are](https://www.brillio.com/about-us/who-we-are/) 3. [linkedin.com/company/brillio](https://linkedin.com/company/brillio) 4. [glassdoor.com/Reviews/Brillio-Reviews-E821879](https://www.glassdoor.com/Reviews/Brillio-Reviews-E821879.htm) 5. 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