Enterprise Architect, Azure

Enterprise Architect (Azure) 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 stakeholders and driving cross-functional alignment and governance. Strong Advantage / Preferred Healthcare, Pharma, or Life Sciences experience (regulated environments). Familiarity with HIPAA, GxP, FDA, 21 CFR Part 11 or similar is beneficial. Hands-on experience with unstructured data processing at scale: document intelligence/OCR, NLP extraction, semantic search, vector databases, and structured output pipelines. Experience with event streaming and CDC patterns (Kafka / Event Hubs / Kinesis; Debezium patterns, and ELT tooling (including dbt where appropriate). Certifications: Azure (AZ-305/AZ-104), Databricks, Security, or relevant AI credentials. Competencies Enterprise architecture leadership with pragmatic execution bias Strong communication: executive storytelling, trade-offs, and influence Governance and secure-by-design mindset Mentorship and organizational capability building Outcome orientation: time-to-value, adoption, reliability, and cost control What Success Looks Like Delivered a target-state architecture and roadmap for Azure + Databricks + AI platforms with clear milestones. Implemented standardized lakehouse and governance patterns (Unity Catalog, data products, quality and lineage). Enabled repeatable unstructured→structured pipelines supporting priority business domains and measurable quality outcomes. Launched at least 1–2 production-grade agentic AI solutions with guardrails, monitoring, and auditability. Improved platform reliability, delivery velocity, and cost transparency through DevOps/MLOps and observability standards. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is: Up to $200,000 . In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Equal Employment Opportunity Statement Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #J-18808-Ljbffr Fractal, Inc.