Senior AI & Data Platform Engineer (Microsoft Fabric & AI-Driven Development)

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. They are seeking a Senior AI & Data Platform Engineer who will excel at AI-assisted development, data engineering, and platform modernization, playing a key role in accelerating engineering productivity and delivering scalable AI/data solutions.

Responsibilities:

• Leverage AI-assisted development tools (Copilots, LLMs, prompt-driven workflows) to accelerate development cycles
• Apply spec-driven development to generate, refine, and validate production-quality code
• Improve developer velocity while maintaining strong standards in code quality, testing, and architecture
• Lead the migration of data and AI workloads from Databricks to Microsoft Fabric
• Refactor PySpark, SQL, and orchestration pipelines into Fabric-native solutions
• Optimize workloads using OneLake, Lakehouse, Warehouse, Notebooks, and Dataflows Gen2
• Ensure performance, scalability, and cost efficiency across the platform
• Build and maintain scalable data pipelines and analytical workloads
• Develop AI-enabled services and data products integrated with enterprise systems
• Implement robust testing, validation, and deployment practices
• Translate business and technical requirements into clear, structured implementations
• Follow contract-first / spec-driven engineering practices (schemas, interfaces, SLAs)
• Maintain full traceability from requirements → implementation → testing → deployment
• Work across the full SDLC (design, build, test, deploy, operate)
• Partner with architects, product teams, and stakeholders globally
• Mentor engineers on modern AI engineering and platform best practices

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of experience in software, data, or AI engineering
• Strong SQL skills (advanced querying, optimization)
• Data modeling (relational, dimensional, analytical)
• Distributed data processing concepts
• Hands-on experience with AI-assisted development / Copilot-style workflows
• Experience working with spec-driven engineering approaches
• Strong foundation in clean code, modular design, and automated testing
• Experience with Microsoft Fabric: Lakehouse, Warehouse, Notebooks, Dataflows Gen2
• Understanding of OneLake architecture
• Prior experience with Databricks (Spark, pipelines, notebooks)
• Prior experience with Azure services (ADLS, Azure SQL, Synapse, Azure Functions)
• Ability to translate Databricks workloads into Fabric-native solutions
• Self-starter with a forward-thinking mindset
• Strong problem-solving and systems thinking abilities
• Comfortable working in fast-paced, high-ownership environments
• Passion for building end-to-end, production-grade AI and data platforms