Enterprise / Practice Architect

Zorba AI; Chennai; On-site; INR 3,500,000 - 8,000,000; Full time

Job summary

Zorba AI in Chennai seeks an Enterprise Databricks Architect to shape the Data & AI platform strategy, modernization roadmap and governance across the organization. You will define target-state architecture for Lakehouse, Unity Catalog, workspace design, security and identity, while driving multi-year transformation initiatives.

The role requires strong enterprise ownership, stakeholder management and experience leading large programs.

Qualifications

• 15+ years of experience in Data Architecture or Enterprise Architecture leadership.
• Strong expertise in enterprise Databricks architecture and Lakehouse platforms.
• Hands-on understanding of Unity Catalog, workspace design, governance and security.
• Proven data modernization and large-scale cloud/data platform migrations.
• Widespread knowledge of AWS/Azure/GCP data architectures.
• Experience defining enterprise data governance, security and operating models.
• Excellent consulting, communication and leadership skills.

Responsibilities

• Define enterprise-wide Data & AI platform vision and multi-year modernization roadmap.
• Lead enterprise Databricks architecture strategy covering Lakehouse, Unity Catalog, workspace design, identity and security.
• Establish governance frameworks, operating models and reusable platform capabilities.
• Drive large-scale modernization and migrations from legacy warehouses and Hadoop to cloud data ecosystems.
• Define migration strategies, quality gates and cutover governance.
• Establish federated data governance, data-product standards and access controls.
• Drive platform performance, reliability, observability and FinOps strategies.
• Mentor architects and lead strategic consulting engagements.

Skills

Databricks architecture

Lakehouse platforms

Unity Catalog

Cloud data architecture

Stakeholder management

Enterprise architecture

FinOps

Tools

Databricks

DLT

Workflow orchestration

Job description

Job Description – Enterprise / Practice Databricks Architect

Experience: 15+ Years

Role: Enterprise / Practice Architect – Data & AI Platforms

Role Overview

We are looking for a highly experienced Enterprise / Practice Databricks Architect to define and drive enterprise-wide Data & AI platform strategy, architecture modernization, governance and technology transformation. The candidate will be responsible for shaping multi-year architecture roadmaps, establishing enterprise Databricks standards, leading large-scale modernization initiatives and building scalable, secure and cost-optimized Lakehouse platforms.

The role requires strong enterprise architecture ownership, strategic consulting capabilities, stakeholder management and experience leading architects and large transformation programs.

Key Responsibilities

• Define enterprise-wide Data & AI platform vision, target-state architecture and multi-year modernization roadmap.
• Lead enterprise Databricks architecture strategy covering Lakehouse, Unity Catalog, workspace design, identity, networking, compute and security.
• Establish enterprise architecture standards, governance frameworks, operating models and reusable platform capabilities.
• Drive large-scale modernization and migration initiatives across legacy data warehouses, Hadoop, ETL platforms and cloud data ecosystems.
• Define migration strategies, migration factory frameworks, quality gates, reconciliation standards and cutover governance.
• Establish federated data governance, domain ownership, data-product standards, access controls and compliance frameworks.
• Drive platform performance, reliability, observability, capacity planning and FinOps strategies.
• Govern adoption of Databricks capabilities including Lakeflow / DLT, Workflows, Serverless, System Tables and Asset Bundles.
• Define AI-ready data platform architecture, including governed RAG, context engineering, model access and AI governance capabilities.
• Engage with CXO-level stakeholders, business leaders and technology leadership to drive architecture decisions and transformation roadmaps.
• Lead strategic consulting engagements, architecture assessments, RFI/RFP responses and solution shaping.
• Mentor architects, build technical competencies and establish enterprise architecture best practices.

Mandatory Skills

• 15+ years of overall experience in Data Architecture, Enterprise Architecture or Data & AI Platform Leadership.
• Strong expertise in Enterprise Databricks Architecture and Lakehouse platforms.
• Hands-on architectural understanding of Unity Catalog, workspace architecture, governance, security and platform engineering.
• Proven experience in enterprise data modernization and large-scale cloud/data platform migrations.
• Strong knowledge of AWS / Azure / GCP cloud data architecture.
• Experience defining enterprise data governance, security, operating models and architecture standards.
• Strong understanding of platform performance, scalability, reliability and FinOps.
• Experience managing enterprise stakeholders, architecture governance and large transformation programs.
• Excellent consulting, communication, strategic decision-making and leadership skills.

Good to Have

• Experience with Databricks Lakeflow / DLT, Workflows, Serverless, System Tables and Asset Bundles.
• Exposure to AI-ready data platforms, RAG architectures, LLM integration and AI governance.
• Experience in migration factory setup, reusable accelerators and enterprise architecture frameworks.
• Experience leading architecture practices, mentoring senior architects and building competency frameworks.

Skills: architecture,cloud migration.,enterprise architecture,cloud migration,databricks,modernization