Job description

Mandatory Technologies: MS Fabric, Databricks, PySPark, Azure DevOPS, Databricks Genie, Agent Bricks & Insurance domain exp is preferred and plus. Responsibilities: • Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions in MS Fabric • Experience in enterprise adoption ensures the integration of modern, AI-driven capabilities and aligns architecture with key business outcomes • MS Fabric, Databricks Architect to lead the design, architecture, and implementation of enterprise-scale data platforms on Databricks. • Experience overall data architecture strategy, release planning, and platform roadmap while partnering closely with customer stakeholders to accelerate Databricks adoption and modernization initiatives. • Strong technical leadership, customer-facing communication skills, and the ability to drive solutions from strategy through execution. • Experience in Implementing Agent Bricks to enable high‐quality, domain‐specific AI agents that automatically refine the performance using enterprise data. • Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning • Integrate Genie and AI‐BI tools to enable natural‐language analytics within Databricks One and the broader AI/BI suites. • Integrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end-to-end automation. • Experience with integration of different data sources with Data Warehouse and Data Lake is required • Understanding of data modelling and data architecture concepts • To be able to clearly articulate pros and cons of various technologies and platforms • Define and implement cloud governance and best practices. • Identify and implement automation opportunities to increase operational efficiency.

Requirements

Must-haves

Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions in MS Fabric
Experience in enterprise adoption ensures the integration of modern, AI-driven capabilities and aligns architecture with key business outcomes
MS Fabric, Databricks Architect to lead the design, architecture, and implementation of enterprise-scale data platforms on Databricks.
Experience overall data architecture strategy, release planning, and platform roadmap while partnering closely with customer stakeholders to accelerate Databricks adoption and modernization initiatives.
Strong technical leadership, customer-facing communication skills, and the ability to drive solutions from strategy through execution.
Experience in Implementing Agent Bricks to enable high‐quality, domain‐specific AI agents that automatically refine the performance using enterprise data.
Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning
Integrate Genie and AI‐BI tools to enable natural‐language analytics within Databricks One and the broader AI/BI suites.
Integrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end-to-end automation.
Experience with integration of different data sources with Data Warehouse and Data Lake is required
Understanding of data modelling and data architecture concepts
To be able to clearly articulate pros and cons of various technologies and platforms
Define and implement cloud governance and best practices.
Identify and implement automation opportunities to increase operational efficiency.

Nice-to-haves

Mandatory Technologies: MS Fabric, Databricks, PySPark, Azure DevOPS, Databricks Genie, Agent Bricks & Insurance domain exp is preferred and plus.

Application prep

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Keywords to mirror

azureaimachine learning

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Effort: medium