• Be the primary architect and visionary for the core data infrastructure • Build internal SDKs, CLI tools, and automated orchestration frameworks • Prototype and benchmark emerging technologies • Architect 'compliance-by-design' systems • Set the gold standard for code quality and system design across the company • Foster an 'Engineering Community' and influence hiring bar and professional development paths

• Work directly with end clients to gather requirements and propose technical solutions. • Conduct solution walkthroughs and support User Acceptance Testing (UAT). • Participate in client meetings, technical reviews, and planning sessions. • Develop Model-Driven Apps, Canvas Apps, Power Automate flows, and Dataverse components. • Configure Dataverse: - Tables and relationships. - Forms, views, dashboards. - Business rules and security roles. • Develop and maintain: - C# plugins. - JavaScript customizations. - PCF controls. - Custom workflows. • Design and build Power Pages / Power Portal websites for external users. • Customize portals using Liquid templates, HTML, CSS, and JavaScript. • Implement secure access using: - Web Roles. - Table Permissions. - Web Page Access Control Rules. • Configure authentication and identity providers: - Azure AD. - Local authentication. - Email OTP. • Build forms, lists, and custom UI/UX using the Portal Management App. • Integrate portals with Dynamics 365 / Dataverse using Web APIs or Portal Actions. • Troubleshoot performance, caching, and deployment issues. • Lead migrations from CRM 2013/2015/2016 (on-prem) to Dynamics 365 Online. • Refactor: - Plugins. - Custom workflows. - Business processes. - Ribbon customizations. • Execute data migrations using KingswaySoft, SSIS, or Azure Data Factory. • Perform: - Data mapping and transformation. - Delta loads. - Data reconciliation. • Troubleshoot schema conflicts and data integrity issues. • Build integrations using: - Azure Functions. - Logic Apps. - Service Bus. - REST APIs. • Migrate legacy SOAP/WCF integrations to modern REST-based architectures. • Design secure and scalable integration solutions. • Use Azure DevOps for CI/CD pipelines, solution packaging, deployments. • Follow best practices for version control, branching strategies, and code reviews.

• Build automation workflows for MLOps, LLMOps, and application deployment within Databricks. • Enhance workspace onboarding automation including Unity Catalog, permissions, and environment setup. • Develop reusable modules for workspace provisioning, catalog configuration, model deployment, and governance workflows. • Integrate Mosaic AI components (Gateway, Model Serving, Agents) into platform automation. • Develop Python automation scripts for Databricks services including Unity Catalog, MLflow, Mosaic AI, Model Serving, Databricks Apps. • Ensure consistency, reliability, and scalability across multi‑workspace environments. • Implement automated rollback strategies, fail‑fast mechanisms, and environment stability checks. • Build integrations using AWS Lambda, API Gateway, and Service Principal authentication. • Automate Databricks Job orchestration, monitoring, and deployment pipelines. • Implement secure, scalable automation bridging AWS and Databricks.

• Design, build, and maintain AWS OpenSearch indexes, mappings, analyzers, and index templates • Develop .NET 8 (C#) backend services that ingest, index, and query data from OpenSearch • Implement and optimize OpenSearch query DSL for performance, relevance, and scalability • Design and maintain data ingestion pipelines that collect content from: Databases (relational and NoSQL), File-based sources (S3, documents, exports), External systems and APIs, Websites or content feeds (where applicable) • Normalize, enrich, and transform content prior to indexing (metadata extraction, text processing, field mapping) • Build and expose search APIs using AWS Lambda and API Gateway • Support batch and near–real-time indexing workflows • Deploy and operate services on AWS ECS and/or EC2 • Monitor, troubleshoot, and tune OpenSearch cluster health, indexing throughput, and query performance • Collaborate with frontend teams building React-based search experiences • Participate in architectural discussions around search relevance, scalability, and data modeling • Support client search deployments, including environment setup, tuning, and ongoing optimization • Write clean, maintainable, and well-tested backend code • Participate in code reviews and technical design discussions