Senior Architect
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Title : Senior Architect
- Databricks (DE & Gen-AI)
Location:
Chennai / Bangalore/ Hyderabad
Who we are
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges.
We offer
full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 5000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
We are a Great Place to Work-Certified TM (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
Role Summary
We are looking for a highly experienced Senior Architect to lead the design, architecture, and implementation of enterprise-scale AI-native data platforms on the Databricks Data Intelligence Platform. This role requires a strategic technology leader with deep hands-on expertise in modern Data Engineering, Databricks, and Generative AI. The ideal candidate should be passionate about emerging technologies, capable of rapidly building prototypes and accelerators, mentoring engineering teams, and driving enterprise AI and data transformation initiatives.
Key Responsibilities
Required Skills & Experience
Databricks & Data Engineering
Deep hands-on expertise with the Databricks Data Intelligence Platform and modern Lakehouse architecture. Strong understanding of Databricks capabilities across Data Engineering, AI/BI, Governance, and AI application development. Expert-level Python, Py Spark, and SQL with experience building scalable, production-grade applications. Strong expertise in: Data Pipeline Design & Automation Data Modeling & Lakehouse Architecture Data Quality & Observability Metadata Management & Data Governance Streaming & Batch Data Processing Performance OptimizationGenerative AI & AI Engineering
Strong hands-on experience building enterprise AI applications on the Databricks Data Intelligence Platform. Deep expertise in Databricks AI/BI, including Genie, conversational analytics, and AI-powered business intelligence solutions. Hands-on experience designing and implementing Agentic AI solutions using Agent Bricks and the Databricks AI ecosystem. Experience building semantic search and enterprise knowledge applications using Databricks Vector Search, enterprise metadata, and governed data assets. Strong understanding of the Databricks AI application stack, including Mosaic AI, Agentbricks, Genie Agents, Databricks Apps. Knowledge of Retrieval-Augmented Generation (RAG), AI Governance, Evaluation, Prompt Engineering, AI Observability, and responsible AI practices. Familiarity with enterprise AI frameworks such as Lang Chain, Lang Graph, Llama Index, and Model Context Protocol (MCP) is desirable.Cloud Platforms
Experience with Databricks on AWS or GCP. Familiarity with Snowflake and modern cloud-native data ecosystems is desirable.Leadership Competencies
Strategic thinker with strong architecture and consulting capabilities. Dynamic, proactive, and passionate about emerging technologies with the ability to quickly learn and adopt new platform capabilities. Strong hands-on practitioner capable of leading architecture while developing prototypes, accelerators, and innovative solutions. Demonstrated experience mentoring