Lead Azure-Databricks Architect at Blend360

Montevideo, Montevideo, Uruguay -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Cloud Architecture, Azure Databricks, Unity Catalog, Serverless Compute, Delta Live Tables (DLT), Data Governance, GenAI Tooling, Vector Search, Agent Evaluation Frameworks, ML Lifecycle Management, CI/CD, Engineering Orchestration, VNet Injection, Private Link, Entra ID (Azure AD), Lakeflow Connect

Industry

Professional Services

Description

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Lead Azure Databricks Architect to contribute to our next level of growth and expansion. What is this position about? We are looking for a Lead Azure Databricks Architect to design, implement, and govern the Foundational Hub for an AI Insurance Claims Platform. This role is responsible for ensuring the architectural integrity, scalability, and security of the Azure Databricks environment, enabling the integration of structured and unstructured data from multiple legacy systems. The architect will play a critical role in enabling parallel AI capability development across high-severity Construction Defect (CD) and General Liability (GL) use cases within the Insurance domain. Job Description Design and configure enterprise-scale Azure Databricks workspaces optimized for high-severity insurance use cases. Architect and implement Unity Catalog as the central governance layer, managing access controls, lineage, and data compliance. Develop ingestion pipelines using Lakeflow Connect and Auto Loader to integrate data from Policy Administration Systems, Systems of Record (SOR), and legacy file servers. Deploy and manage Mosaic AI Vector Search and Model Serving endpoints to support Retrieval Augmented Generation (RAG) workflows. Establish and govern Databricks Agent Services frameworks to enable supervisor-worker AI architectures. Standardize platform observability, including MLflow lifecycle management, model performance tracking, auditability, and system health monitoring. Ensure secure Azure infrastructure integration using VNet injection, Private Link, and Entra ID (Azure AD). Lead CI/CD integration and orchestration using Databricks Jobs for multi-task scheduling and automated deployments. Ensure regulatory compliance and data privacy standards for sensitive insurance, litigation, and claimant data. Qualifications Strong expertise in Azure cloud architecture, including networking and security best practices. Advanced knowledge of Azure Databricks, including Unity Catalog (Volumes, Catalogs, Schemas), Serverless Compute, and Delta Live Tables (DLT). Experience implementing enterprise-grade data governance frameworks. Hands-on experience with GenAI tooling, including Vector Search indexing and agent evaluation frameworks. Proven experience integrating structured and unstructured data from legacy systems. Strong understanding of ML lifecycle management and observability best practices. Solid background in CI/CD processes and engineering orchestration. Excellent communication and stakeholder management skills Experience in Property & Casualty (P&C) or Commercial Liability insurance domains is highly preferred. Databricks Solutions Architect Professional or Azure Solutions Architect Expert certification is a plus. What about languages? Advanced English level (written and spoken) is required, as the role involves collaboration with cross-functional and client-facing teams. How much experience must I have? Minimum of 7+ years of experience in cloud architecture, with a proven track record delivering enterprise-scale Databricks implementations. Additional Information Our Perks and Benefits: 📚Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication. 👨🏽‍💻Travel opportunities to attend industry conferences and meet clients. 👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path. 🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters. So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!

Responsibilities

The Lead Azure Databricks Architect will design and configure enterprise-scale Azure Databricks workspaces, architecting Unity Catalog for central governance, and developing ingestion pipelines using Lakeflow Connect and Auto Loader. This role is also responsible for deploying GenAI tooling like Vector Search and Model Serving endpoints to enable parallel AI capability development for high-severity insurance use cases.