--- title: 'Snowflake Developer - R01568220 at Brillio' canonical: 'https://feeny.ai/job/snowflake-developer-r01568220-brillio-bengaluru-xhzj688shq7t' type: 'job' last_seen: '2026-09-13' --- # Snowflake Developer - R01568220 at Brillio - **Company:** Brillio - **Location:** Bengaluru, India - **Work type:** hybrid - **Posted:** 2026-07-17 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.lever.co/brillio-2/c5f8817d-bf3d-413c-8650-7779412cd495 ## Job description Data Specialist Primary Skills - Snowflake, Airflow, DBT Specialization - Snowflake Lead Developer Job requirements ## Key Responsibilities Project Type: L3 Support Flexibility to shift working is Mandatory. Development Responsibilities - Design and develop scalable data pipelines and modern data architectures using Snowflake. - Lead migration initiatives from legacy databases to Snowflake. - Build and optimize ELT frameworks using DBT. - Develop and orchestrate workflows using Apache Airflow. - Design and implement data models, including Star Schema and Snowflake Schema. - Develop ingestion pipelines for structured and semi-structured data. - Create reusable frameworks for data validation, reconciliation, auditing, and monitoring. - Optimize Snowflake objects, including: - Virtual Warehouses - Clustering Keys - Materialized Views - Streams & Tasks - Dynamic Tables - Develop technical design documents and migration runbooks. - Perform code reviews and enforce engineering best practices. Migration Responsibilities - Assess and migrate data from legacy platforms, including: - Oracle - SQL Server - Teradata - Netezza - DB2 - SAP HANA - On-Prem Data Warehouses - Perform source system analysis and database rationalization. - Design migration strategies, including: - Full Data Loads - Incremental Loads - CDC (Change Data Capture) - Historical Data Migration - Conduct data reconciliation and validation during migration. - Optimize transformed workloads for Snowflake architecture. - Execute cutover planning and post-migration stabilization. Good to have: AMS / Production Support Responsibilities - Provide L3 support for Snowflake data platforms and pipelines. - Monitor and manage production data workloads. - Troubleshoot data failures, performance issues, and pipeline disruptions. - Perform root cause analysis (RCA) and implement permanent fixes. - Support incident, problem, change, and release management activities. - Work closely with business users and stakeholders to resolve production issues. - Ensure adherence to SLA and operational support commitments. - Participate in production releases and deployment activities. ## 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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