{"id":1325389,"url":"https://alion.io/job/brown-brown-principal-data-architect","title":"Principal Data Architect","company":{"id":1779108,"name":"Brown & Brown","domain":"bbrown.com","url":"https://alion.io/company/brown-and-brown","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":16,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sandy Springs, United States","Dallas, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":246},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-12T00:00:00Z","employer_posted_date":"2026-09-12","last_verified_at":"2026-09-28T21:42:54Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.\nBrown & Brown isseekinga Principal Data Architect to join our growing team in Atlanta, GA, Dallas, TX, or Daytona Beach, FL!.\nThe Data & AI Architect sits within B&B Retail Technology Data & AI organization and supports retail wide data and AI initiatives spanning investment platforms and portfolio operations. We are seeking a seasoned Data & AI Solutions Architect at the Lead/Principal level to serve as the technical authority and strategic design leader B&B Retail data platform and AI ecosystem. This is one of the most impactful and senior individual contributor roles within our Data, Analytics & AI organization.\nRole will be responsible for defining the overarching architecture across our data platforms, AI/ML systems, data governance frameworks, and integration patterns - ensuring they are cohesive, scalable, secure, and aligned with our business & Product strategy. You will set the technical direction, establish engineering standards, guide platform decisions, and serve as a trusted advisor to the Retail technology leadership, and business domain leaders.\nThis is a role for a deeply technical, intellectually curious architect who is equally comfortable shaping long-term strategies and rolling up their sleeves to validate designs, prototype solutions, and guide engineering teams through complex delivery challenges.\nHow You Will Contribute:\nRetail Architecture Strategy & Vision\nDefine and own the Retail data and AI architecture blueprint, covering data ingestion, storage, transformation, serving, governance, and AI/ML deployment.\nEstablish the target state architecture across cloud platforms, data products, AI systems, and integration patterns - with a clear, pragmatic roadmap from current to future state.\nLead architecture governance - chairing design reviews, evaluating technology proposals, and enforcing standards across data engineering, AI/ML, and analytics teams.\nTranslate business strategy and regulatory obligations into concrete, actionable architectural decisions with well-documented tradeoffs.\nServe as the primary technical liaison between Corporate, Retail IT leadership, and enterprise architecture functions across B&B.\nData Platform Architecture\nArchitect and evolve hybrid data platform built on MSFT Azure, Databricks, Google ensuring the platform supports batch, streaming, & real-time data workloads across all domains.\nDesign the Medallion architecture and enforce Lakehouse best practices including Delta Lake, Unity Catalog, data product publishing patterns aligned to Data Mesh principles.\nDefine data modeling standards across entities ensuring consistency\nOversee the architecture of the reference MDM platform and its integration with upstream policy systems, downstream analytics, and the data Lakehouse.\nDesign enterprise data integration patterns - API-first, event-driven, and ETL/ELT architectures and Integrations to source systems both Internal & external.\nEnsure platform architecture meets high availability, disaster recovery, scalability, and cost efficiency requirements for a regulated insurance environment.\nAI & ML Architecture\nDefine the Retail AI/ML architecture - spanning model development, training, deployment, monitoring, and governance - built on Databricks Mosaic AI, Azure Machine Learning, and Azure OpenAI.\nArchitect the MLOps platform including CI/CD pipelines for ML models, feature store design, model registry, experiment tracking (MLflow), and production model serving.\nDesign Generative AI and LLM architectures - including Retrieval-Augmented Generation (RAG) systems, agentic frameworks, prompt management, and responsible AI guardrails - for broking insurance use cases across underwriting, claims, and actuarial functions.\nEstablish AI governance and model risk management frameworks ensuring all production AI systems are explainable, auditable, and compliant with regulatory expectations.\nEvaluate and recommend foundational models, AI platforms, and emerging technologies maintaining an architectural view of the evolving AI landscape and its applicability.\nData Governance & Security Architecture\nDesign the enterprise data governance architecture in partnership with the Data Governance function - covering data cataloging, lineage, classification, quality, and stewardship workflows\nDefine data access control and security architecture - including RBAC, ABAC, column/row-level security, data masking, and encryption standards across all platform layers.\nEnsure architecture adherence to regulatory and compliance requirements\nArchitect data lineage and audit trails to support certification, audit readiness, and regulatory examination requirements.\nEngineering Standards, Patterns & Enablement\nDefine and maintain the enterprise data and AI engineering standards - including coding standards, design patterns, testing frameworks, CI/CD practices, and documentation requirements.\nCreate and curate a reference architecture library of reusable patterns for ingestion, transformation, serving, AI deployment, and integration - reducing duplication and accelerating delivery across domain teams.\nConduct architecture reviews and design critiques for major initiatives, providing structured guidance that balances technical rigor with delivery pragmatism.\nMentor and coach senior data engineers, ML engineers, and domain architects - elevating the overall technical quality and architectural thinking across the team.\nStay current with the evolving data and AI technology landscape and bring forward well-reasoned recommendations for platform evolution.\nCross-Functional Leadership & Stakeholder Engagement\nPartner with business leaders to understand domain data needs and translate them into durable architectural solutions.\nCollaborate with Enterprise IT, Enterprise Architecture, Information Security, and Vendor Management to ensure data and AI architecture is aligned with enterprise technology standards and procurement strategy.\nRepresent data and AI architecture in vendor evaluations, RFPs, and technology due diligence - providing structured assessments of platform capabilities, integration complexity, and total cost of ownership.\nProduce executive-ready architecture documentation, roadmaps for Retail Data & AI and senior leadership consumption.\nSkills & Experience to Be Successful:\nRequired\nEducation\nBachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field. Master's degree is strongly preferred.\nExperience\n7+ years of progressive experience in data architecture, data engineering, or enterprise architecture roles - with at least 4 years in a senior or lead architect capacity.\nDemonstrated experience designing and delivering enterprise-scale data platforms in cloud environments, with a strong preference for Microsoft Azure, Google and Databricks.\nProven track record of architecting production AI/ML systems including MLOps pipelines, LLM-powered applications, and agentic frameworks.\nSignificant experience in financial services, insurance, or similarly regulated industries - Broking domain experience strongly preferred.\nExperience working directly with senior business leaders as a technical advisor and architecture authority.\nTeammate Benefits & Total Well-Being\nWe go beyond standard benefits, focusing on the total well-being of our teammates, including:\nHealth Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance \nFinancial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement \nMental Health & Wellness: Free Mental Health & Enhanced Advocacy Services\nBeyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more. \nNot reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.\nRecruiting Vendor Disclosure Statement\nBrown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies (\"Recruiting Vendors\"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.\nThe Power To Be Yourself\nAs an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.","description_format":"text","description_chars":8919,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Insurance Brokers & Agencies"],"lifecycle":[{"event":"open","at":"2026-09-27T02:52:59Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.578,"p_room":0.9,"age_days":16,"expected_fill_days":32,"reasons":["conf:1","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/brown-brown-principal-data-architect","json_url":"https://alion.io/job/brown-brown-principal-data-architect.json","meta":{"generated_at":"2026-09-28T22:54:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":537,"day_limit":5000,"remaining_today":4463,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}