Architect

About the position

The MS Fabric and Databricks Senior Architect will design, architect, and implement secure, scalable, highly available, enterprise-scale cloud data platforms. The role develops data architecture strategy, release plans, and platform roadmaps, and partners with customer stakeholders to accelerate Databricks adoption and modernization initiatives. It also supports enterprise adoption of modern, AI-driven capabilities and aligns architecture with business outcomes. The architect will build data warehouses and data lakes for reporting, AI, and machine learning; integrate data sources and Azure Data Lake; and connect DevOps pipelines with Databricks workflows for end-to-end automation. The role includes implementing Agent Bricks to enable domain-specific AI agents, integrating Genie and AI/BI tools for natural-language analytics, defining cloud governance and best practices, and identifying automation opportunities. Strong technical leadership and customer-facing communication are needed to guide solutions from strategy through execution.

Responsibilities

  • Design and implement secure, scalable, highly available cloud-based solutions in Microsoft Fabric.
  • Lead the design, architecture, and implementation of enterprise-scale data platforms on Databricks.
  • Develop data architecture strategy, release planning, and the platform roadmap.
  • Partner with customer stakeholders to advance Databricks adoption and modernization initiatives.
  • Implement Agent Bricks to enable domain-specific AI agents that refine performance using enterprise data.
  • Create data warehouses and data lakes for reporting, AI, and machine learning.
  • Integrate Genie and AI/BI tools to enable natural-language analytics within Databricks One and broader AI/BI suites.
  • Integrate Azure Data Lake, Azure DevOps pipelines, and Databricks workflows for end-to-end automation.
  • Integrate different data sources with data warehouses and data lakes.
  • Define and implement cloud governance and best practices.
  • Identify and implement automation opportunities to increase operational efficiency.
  • Clearly explain the pros and cons of different technologies and platforms.
  • Provide technical leadership and customer-facing communication, driving solutions from strategy through execution.

Requirements

  • 12 to 14 years of experience.
  • Experience with Microsoft Fabric and Databricks architecture.
  • Experience designing and implementing enterprise-scale data platforms.
  • Experience with enterprise data architecture strategy, release planning, and platform roadmaps.
  • Experience implementing Agent Bricks.
  • Experience creating data warehouses and data lakes for reporting, AI, and machine learning.
  • Experience integrating Genie and AI/BI tools for natural-language analytics.
  • Experience integrating data sources with data warehouses and data lakes.
  • Understanding of data modeling and data architecture concepts.
  • Ability to articulate the pros and cons of technologies and platforms.
  • Strong technical leadership and customer-facing communication skills.
  • Mandatory technologies: Microsoft Fabric, Databricks, PySpark, Azure DevOps, Databricks Genie, and Agent Bricks.
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