--- title: 'Lead Data Engineer - R01553055 at Brillio' canonical: 'https://feeny.ai/job/lead-data-engineer-r01553055-brillio-bengaluru-0r9g243dy3qx' type: 'job' last_seen: '2026-09-07' --- # Lead Data Engineer - R01553055 at Brillio - **Company:** Brillio - **Location:** Bengaluru, India - **Work type:** hybrid - **Posted:** 2025-07-17 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/brillio-2/cfae6eed-c2dd-43db-a89c-2957cb56e5c9 ## Job description Lead Data Engineer Primary Skills - GCP, Big Query, Python, Airflow, SQL, DBT Job requirements - About the Role - We are seeking a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) and BigQuery to lead cloud modernization initiatives, develop scalable data pipelines, and enable real-time data processing for enterprise-level systems. This is a high-impact role focused on driving the transformation of legacy infrastructure into a robust, cloud-native data ecosystem. - - Key Responsibilities - 1. Data Migration & Cloud Modernization - Analyze legacy on-premises and hybrid cloud data warehouse environments (e.g., SQL Server). - Lead the migration of large-scale datasets to Google BigQuery. - Design and implement data migration strategies ensuring data quality, integrity, and performance. - 2. Data Integration & Streaming - Integrate data from various structured and unstructured sources, including APIs, relational databases, and IoT devices. - Build real-time streaming pipelines for large-scale ingestion and processing of IoT and telemetry data. - 3. ETL / Data Pipeline Development - Modernize and refactor legacy SSIS packages into cloud-native ETL pipelines. - Develop scalable, reliable workflows using Apache Airflow, Python, Spark, and GCP-native tools. - Ensure high-performance data transformation and loading into BigQuery for analytical use cases. - 4. Programming & Query Optimization - Write and optimize complex SQL queries, stored procedures, and scheduled jobs within BigQuery. - Develop modular, reusable transformation scripts using Python, Java, Spark, and SQL. - Continuously monitor and optimize query performance and cost efficiency in the cloud data environment. - - Required Skills & Experience - 5+ years in Data Engineering with a strong focus on cloud and big data technologies. - Minimum 2+ years of hands-on experience with GCP, specifically BigQuery. - Proven experience migrating on-premise data systems to the cloud. - Strong development experience with Apache Airflow, Python, and Apache Spark. - Expertise in streaming data ingestion, particularly in IoT or sensor data environments. - Strong SQL development skills; experience with BigQuery performance tuning. - Solid understanding of cloud architecture, data modeling, and data warehouse design. - Familiarity with Git and CI/CD practices for managing data pipelines. - - Preferred Qualifications - GCP Professional Data Engineer certification. - Experience with modern data stack tools like dbt, Kafka, or Terraform. - Exposure to ML pipelines, analytics engineering, or DataOps/DevOps methodologies. - - Why Join Us? - Work with cutting-edge technologies in a fast-paced, collaborative environment. - Lead cloud transformation initiatives at scale. - Competitive compensation and benefits. - Remote flexibility and growth opportunities. ## 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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