Enterprise Architect, Azure

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Enterprise Architect (Azure) Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Location: Dallas, TX Note: This position is not eligible for Immigration Sponsorship at this time. Summary We are seeking an accomplished Enterprise Architect to define and lead enterprise-wide strategy and architecture for cloud, data, analytics, and agentic AI platforms. This leader will shape a scalable, secure, and governed ecosystem on Microsoft Azure and Databricks Lakehouse, enabling high-impact data products and AI-powered solutions. Experience in Healthcare, Pharma, or Life Sciences—especially within regulated environments—is a strong advantage. Responsibilities :  Enterprise Architecture & Strategy Own and evolve target-state architecture for Lakehouse, Data Products, AI/ML, and Agentic AI platforms, aligned to business priorities and operating model. Conduct current-state assessments, identify gaps, and deliver roadmaps, reference architectures, and migration plans (including modernization from legacy data warehouses and fragmented AI tooling). Establish architecture standards, patterns, guardrails, and governance processes to enable consistent, repeatable delivery at scale. Drive technology decisions with clear trade-offs across time-to-value, cost, security, scalability, and compliance. Azure + Databricks Leadership Define Lakehouse patterns leveraging Medallion architecture, Delta Lake, and Unity Catalog, enabling governed, high-quality data products. Architect enterprise-grade Azure foundations: landing zones, identity, network segmentation, private access patterns, key management, observability, resiliency, and cost controls. Guide multi-tenant / multi-workspace strategies, cross-domain data sharing, and platform reliability patterns. Unstructured → Structured Data Solutions Establish enterprise patterns for turning documents, PDFs, emails, clinical notes, call transcripts, images/scan artifacts, logs, and web content into structured and governed datasets. Design architectures for: Document ingestion and classification, OCR/extraction, entity recognition, summarization, and schema mapping RAG-ready pipelines (chunking, embeddings, vector indexing) and “structured outputs” pipelines (entities/relations/metrics into curated tables) Metadata enrichment, taxonomy/ontology alignment, and lineage tracking for extracted content Define governance and quality controls for extracted data (accuracy thresholds, exception workflows, human-in-the-loop review, and audit trails). Agentic AI Frameworks & AI Architecture Architect agentic AI frameworks (planner–executor, tool use, multi-agent collaboration) integrated with enterprise APIs, workflows, and data platforms. Define LLMOps standards including evaluation, prompt/model/version management, safety guardrails, monitoring, and feedback loops. Ensure responsible AI: privacy protections, policy enforcement, explainability, and auditability; align with enterprise risk posture and regulatory constraints. Governance, Security & Compliance Implement governance and access controls using Unity Catalog, including RBAC/ABAC, row/column-level security, secrets management, encryption, auditing, and retention. Establish enterprise practices for data contracts, lineage, data quality, and SLAs/SLOs (e.g., Great Expectations/Deequ patterns). Partner with Security, Privacy, and Compliance teams to ensure architectures meet applicable regulatory obligations. Delivery Leadership, Advisory & Executive Stakeholder Engagement Lead architecture workshops and solutioning sessions with business and technology stakeholders to define prioritized use cases and measurable outcomes. Provide delivery leadership: estimates, risk management, dependency management, and executive-ready status reporting. Coach and mentor architects and engineering teams; create reusable templates, accelerators, and best practices. DevOps / MLOps / Observability Establish CI/CD standards for notebooks, jobs, repos, and pipelines; define environment strategy and release trains. Drive IaC adoption (Terraform/Bicep) for repeatable infrastructure and policy-as-code. Operationalize ML lifecycle with MLflow, feature stores, training-serving consistency, and production monitoring. Define monitoring, alerting, runbooks, error budgets; lead incident postmortems and continuous improvement. Qualifications:   Required 18-20+ years of progressive architecture experience (Enterprise/Principal/Solution Architect) delivering enterprise-scale platforms. Deep expertise in Microsoft Azure architecture (security, identity, networking, resiliency, observability, cost optimization). Extensive experience with Databricks Lakehouse (Delta Lake, Unity Catalog, Workflows; performance and cost tuning). Proven experience designing AI/ML platforms and deploying production solutions; demonstrable work with agentic AI orchestration and/or advanced AI workflow patterns. Strong architecture depth across distributed systems, event-driven integration, APIs, and modern data engineering. Track record of influencing senior s