Databricks Architect

Avanade Inc.; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Avanade India’s Data & AI practice is seeking a Databricks Architect to lead presales solutioning and technical architecture for modern data estate on Azure Databricks. This client-facing role involves shaping opportunities from workshops and proposals to guiding implementation teams as needed.

You will design end-to-end architectures, define migration roadmaps, and mentor engineers while staying aligned with the Azure ecosystem and Databricks roadmap.

Responsibilities

• Lead presales solutioning for Azure Databricks opportunities — architecture proposals, effort estimation, solution demos, and client workshops — partnering with account and practice leadership on pursuits.
• Design end-to-end Azure Databricks solution architectures, including Lakehouse (Delta Lake), Unity Catalog, Databricks SQL, Workflows, and integration with Power BI and the broader Azure ecosystem.
• Define data platform strategy, target-state architecture, and migration roadmaps in collaboration with client stakeholders.
• Architect modern data estate builds — data lake, data warehouse, and lakehouse patterns — including migrations from legacy platforms to Azure Databricks.
• Step into delivery to provide technical leadership on active engagements: solution design, architecture governance, design reviews, performance and cost optimization, and production readiness.
• Establish data architecture standards, security/governance models (Unity Catalog, data lineage, access control), and CI/CD/DevOps practices for Azure Databricks-based delivery.
• Act as a trusted technical advisor to client stakeholders, translating business requirements into scalable, well-governed data architectures.
• Mentor data engineers and architects on project teams; contribute to reusable accelerators and IP for the practice.
• Stay current with the Databricks roadmap and broader Azure data platform ecosystem, bringing new capabilities into client proposals and solutions.

Tools

Azure Databricks

Power BI

Delta Lake

Unity Catalog

Job description

Avanade is the world’s leading Microsoft expert, helping more than 7,000 organizations modernize securely and scale AI using Microsoft technology, faster. Founded by Microsoft and Accenture, and operating as Microsoft’s Client Zero, Avanade brings deep expertise and proven delivery to simplify complexity, accelerate innovation, and deliver measurable results. Together with Accenture, Avanade combines global scale with expertise in AI, cloud, data, cybersecurity, and ERP to design solutions that put people first. With 60,000 Microsoft professionals worldwide, 165,000 certifications, and the largest community of Microsoft MVPs, Avanade has spent more than 25 years helping organizations unlock the full potential of people and technology to create lasting impact for clients, employees, and communities.

Role Summary

Avanade India’s Data & AI practice is looking for a Databricks Architect to drive presales solutioning and technical architecture for modern data estate, data lake, data warehouse, and data migration engagements built on Azure Databricks, stepping into delivery leadership as engagements require. This is a client-facing role for someone who enjoys shaping opportunities as much as solving hard architecture problems — from client workshops and proposal-stage solutioning through to guiding implementation teams when needed.

Key Responsibilities

• Lead presales solutioning for Azure Databricks opportunities — architecture proposals, effort estimation, solution demos, and client workshops — partnering with account and practice leadership on pursuits.
• Design end-to-end Azure Databricks solution architectures, including Lakehouse (Delta Lake), Unity Catalog, Databricks SQL, Workflows, and integration with Power BI and the broader Azure ecosystem.
• Define data platform strategy, target-state architecture, and migration roadmaps in collaboration with client stakeholders.
• Architect modern data estate builds — data lake, data warehouse, and lakehouse patterns — including migrations from legacy platforms (on-prem warehouses, Synapse, Snowflake, or other cloud data platforms) to Azure Databricks.
• Step into delivery as needed to provide technical leadership on active engagements: solution design, architecture governance, design reviews, performance and cost optimization, and production readiness.
• Establish data architecture standards, security/governance models (Unity Catalog, data lineage, access control), and CI/CD/DevOps practices for Azure Databricks-based delivery.
• Act as a trusted technical advisor to client stakeholders, translating business requirements into scalable, well-governed data architectures.
• Mentor data engineers and architects on project teams; contribute to reusable accelerators and IP for the practice.
• Stay current with the Databricks roadmap and broader Azure data platform ecosystem, bringing new capabilities into client proposals and solutions.

Equal Employment Opportunity Statement

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