Senior Architect

Tiger Analytics; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Health insurance

Job summary

Tiger Analytics in India is seeking a Senior Architect to lead the design, architecture, and implementation of enterprise-scale AI-native data platforms on the Databricks Data Intelligence Platform.

The role requires deep hands-on expertise in modern Data Engineering, Databricks, and Generative AI, with a focus on mentoring teams, rapid prototyping, and driving enterprise AI transformations for Fortune 1000 clients.

Qualifications

• 12+ years of experience in Data Engineering, Cloud Data Platforms, or Enterprise Architecture.
• Experience delivering enterprise-scale Databricks implementations and AI-native data platforms.
• Databricks certifications in Data Engineering, Machine Learning, or Generative AI are desirable.
• Experience with semantic layers, knowledge graphs, and metadata-driven data platforms is a plus.

Responsibilities

• Lead architecture and implementation of enterprise-scale data and AI solutions on Databricks.
• Architect Lakehouse solutions for Data Engineering, AI/BI, Analytics, and GenAI.
• Design scalable, cloud-native data platforms with focus on Data Engineering, Data Modeling, Data Quality, Governance, Metadata Management, Security, and Platform Operations.
• Build rapid prototypes, PoCs, PoVs, and accelerators using Databricks and Generative AI capabilities.
• Design and implement enterprise AI applications leveraging Databricks AI capabilities, Agentic AI, and intelligent analytics.
• Partner with stakeholders to define roadmaps and translate business objectives into scalable technical solutions.
• Collaborate with sales, pre-sales, and account leadership to support solutioning and client engagements.

Skills

Databricks

Lakehouse

Python

PySpark

SQL

Data Modeling

Data Quality

Data Governance

GenAI

AI Applications

RAG

LangChain

LangGraph

LlamaIndex

Genie

Tools

LangChain

LangGraph

LlamaIndex

Genie

Job description

Title : Senior Architect - Databricks (DE & Gen-AI)

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™ (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

• Lead the architecture, design, and implementation of enterprise‑scale data and AI solutions on the Databricks Data Intelligence Platform.
• Architect modern Lakehouse solutions supporting Data Engineering, AI/BI, Analytics, and GenAI workloads.
• Design scalable, cloud‑native data platforms with strong focus on Data Engineering, Data Modeling, Data Quality, Governance, Metadata Management, Security, and Platform Operations.
• Build rapid prototypes, Proof of Concepts (PoCs), Proof of Value (PoVs), and reusable accelerators using Databricks and Generative AI capabilities.
• Design and implement enterprise AI applications leveraging Databricks AI capabilities, Agentic AI, and intelligent analytics.
• Partner with business stakeholders and clients to define technology roadmaps and translate business objectives into scalable technical solutions.
• Collaborate with sales, pre‑sales, and account leadership teams to support solutioning, proposals, client presentations, and business development initiatives.

Required Skills & Experience

• 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, PySpark, and SQL with experience building scalable, production‑grade applications.
• Strong expertise in:
• Data Modeling & Lakehouse Architecture
• Data Quality & Observability
• Metadata Management & Data Governance
• Streaming & Batch Data Processing
• Performance Optimization
• 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 LangChain, LangGraph, LlamaIndex, and Model Context Protocol (MCP) is desirable.
• Experience with Databricks on AWS or GCP.
• Familiarity with Snowflake and modern cloud‑native data ecosystems is desirable.
• 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 engineering teams and leading enterprise architecture initiatives.
• Excellent communication, stakeholder management, consulting, and client engagement skills.
• Proven ability to lead technical solutioning, architecture governance, and enterprise transformation programs.

Preferred Qualifications

• 12+ years of experience in Data Engineering, Cloud Data Platforms, or Enterprise Architecture.
• Experience delivering enterprise‑scale Databricks implementations and AI‑native data platforms.
• Databricks certifications in Data Engineering, Machine Learning, or Generative AI are highly desirable.
• Experience with modern AI‑native architectures, semantic layers, knowledge graphs, and metadata‑driven data platforms is an added advantage.

You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal‑opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits

• Health insurance (self & family), virtual wellness platform, and knowledge communities.