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Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity and Orogen Group, and growing at nearly 60% YoY since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology – cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Learn more www.Brillio.com.
We're Hiring: Principal Data Architect – AWS
Location: Bangalore | Full Time | 14–18 Years Experience
Education: BE / B.Tech is mandatory
We are looking for a highly experienced Principal Data Architect to lead enterprise-scale data modernization and cloud transformation initiatives on AWS.
Key Expertise:
• AWS Data Platforms & Modern Data Architecture.
• Data Lakes, Lakehouse & Data Warehousing.
• AWS Glue, Redshift, S3, Athena, EMR.
• Apache Spark, Python & SQL.
• Enterprise Data Governance & Security.
• AI/ML & Advanced Analytics Enablement.
• CoE & Engineering Practice Building Exposure.
• RFP/RFI Solutioning & Proposal Management.
Demonstrate strong expertise in:
• Designing and building enterprise-scale AWS data platforms from scratch.
• Leading legacy-to-cloud data modernization and migration programs.
• Architecting scalable, high-performance, and reliable data pipelines.
• Driving data quality, observability, and production support excellence.
• Hands-on proficiency in SQL, Python, and PySpark for large-scale data engineering use cases.
• Providing solution architecture support for client discussions, RFP/RFI solutioning, and transformation initiatives.
What You'll Do:
• Define enterprise data architecture strategy on AWS.
• Build scalable, high-performance cloud data platforms.
• Lead large-scale migration & modernization programs.
• Drive innovation with analytics, AI, and real-time data solutions.
• Contribute to CoE development and engineering practice growth.
• Partner with business and technology leaders to deliver impactful outcomes.
Nice to Have:
• Kafka / Amazon Kinesis.
• Collibra / Alation.
• AWS Certifications.
We're looking for leaders who demonstrate:
• Customer Advocacy
• Innovation Mindset
• Big Picture Thinking
• Execution Excellence
• Strong Team Leadership
If you're passionate about building next-gen data ecosystems and driving business transformation, we'd love to connect.
Job ID: 148449203
Skills:
Apis, Natural Language Processing, Cloud Technologies, Azure ML, Databricks, Data Privacy, orchestration frameworks, fine-tuning, machine learning pipelines, enterprise-grade AI ML platforms, AI technologies, prompt engineering, multi-agent collaboration, ML Ops, model integrity, alignment techniques, AWS Sagemaker, RAG, cost management, batch streaming pipelines, observability, Large Language Models
Skills:
Orchestration, J2EE, AI ML, Microservices, IoT technologies, deployment practices, cloud-native services, CI CD
Skills:
data engineering , Cassandra, PostgreSQL, Angular, Nosql, React, MySQL, Flask, Python, AWS, Java, Node.js, Sql, Django, Gcp, FastAPI, MongoDB, Azure, AWS Agent Framework, LangSmith, Autogen, LangGraph, Arize, MAF, MCP
Skills:
Python, Distributed Systems, automation, Java, Systems Programming, AI-assisted systems, data platforms, real-time data processing, Go, event-driven architectures
Skills:
Predictive Analytics, Cloud Native, Devops, Containers, Load Balancing, automation, Kubernetes, cloud networking, service mesh, AI driven insights, event driven platforms, API first, Security, Cost Optimization, operational intelligence, networking VPCs, observability
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