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. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
Financial Times, Economic Times and Analytics India Magazine.

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.

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.
Collaborate with sales, pre-sales,



and account leadership teams to support solutioning, proposals, client presentations, and business development initiatives.

Required Skills & Experience
Databricks & Data Engineering
Deep hands-on expertise with the Databricks Data Intelligence Platform and contemporary 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.
Data Pipeline Design & Automation
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.
Cloud Platforms
Experience with Databricks on AWS or GCP.
Familiarity with Snowflake and modern cloud-native data ecosystems is desirable.

Strategic thinker with solid architecture and consulting 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.
Proven ability to lead technical solutioning, architecture governance, and enterprise transformation programs.

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.

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. 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.

📌 ARCHITECT / SENIOR ARCHITECT (with Revit) (Chennai)
🏢 Tiger Analytics
📍 Chennai