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Brown & Brown Insurance
Brown & Brown Insurance
बीमावित्त
Brown & Brown Insurance एक स्वतंत्र बीमा ब्रोकरेज और जोखिम प्रबंधन कंपनी है, जो व्यक्तियों और व्यवसायों को सेवाएँ प्रदान करती है। 1939 में स्थापित यह कंपनी 500 से अधिक स्थानों के नेटवर्क के माध्यम से व्यक्तिगत और वाणिज्यिक बीमा, कर्मचारी लाभ तथा राष्ट्रीय बीमा कार्यक्रम उपलब्ध कराती है। 10,000 से अधिक कर्मचारियों वाली यह कंपनी वित्त और बीमा क्षेत्रों में कार्य करती है तथा अपने कार्यस्थल की संस्कृति में विविधता, समावेशन और अपनत्व पर जोर देती है। Brown & Brown Insurance न्यूयॉर्क स्टॉक एक्सचेंज में BRO टिकर के तहत सार्वजनिक रूप से सूचीबद्ध है और अनुशासित विलय एवं अधिग्रहण रणनीति के माध्यम से इसका विस्तार हुआ है।
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कंपनी की नौकरियाँ

Principal Data Architect (Hybrid)

Lead the architecture of Brown & Brown Insurance’s enterprise data and AI platform. Shape cloud, governance, MLOps, and Generative AI capabilities across retail technology.

USसंयुक्त राज्यFLफ़्लोरिडाTXटेक्सासहाइब्रिडपूर्णकालिकलीडआवश्यक भाषा: अंग्रेज़ीडेटा इंजीनियर
AzureETLUnityक्लाउड

विवरण

  • Own the Retail data and AI architecture blueprint spanning ingestion, storage, transformation, serving, governance, and AI/ML deployment.
  • Define target-state architecture for cloud platforms, data products, AI systems, and integration patterns.
  • Lead architecture governance, facilitate design reviews, assess technology proposals, and uphold standards.
  • Convert business strategy and regulatory requirements into practical architectural decisions.
  • Act as the technical bridge between Corporate, Retail IT leadership, and enterprise architecture.
  • Architect and advance the hybrid data platform across Microsoft Azure, Databricks, and Google.
  • Design Medallion and Lakehouse architectures, Delta Lake and Unity Catalog implementations, and Data Mesh-aligned publishing patterns.
  • Oversee the architecture and integrations of the master data management platform.
  • Create API-first, event-driven, and ETL/ELT integration approaches.
  • Define AI/ML architecture for development, training, deployment, monitoring, and governance.
  • Build MLOps capabilities covering CI/CD, feature stores, model registries, MLflow, and model serving.
  • Design Generative AI and LLM solutions using RAG, agentic frameworks, prompt management, and responsible AI controls.
  • Establish frameworks for AI governance, model risk, explainability, auditability, and compliance.
  • Design data governance and security architecture covering catalogs, lineage, classification, quality, stewardship, and access control.
  • Set engineering standards, reusable reference architectures, testing frameworks, CI/CD practices, and documentation expectations.
  • Review architectures and coach senior data, machine learning, and domain architects.
  • Collaborate with business and enterprise technology leaders on solutions, vendor assessments, RFPs, and due diligence.
  • Create executive-level architecture documentation and implementation roadmaps.

आवश्यकताएँ

  • Bachelor’s degree in computer science, information systems, data engineering, or a related technical discipline.
  • At least seven years of progressive experience in data architecture, data engineering, or enterprise architecture.
  • Four or more years serving in a senior or lead architect role.
  • Track record of designing and delivering enterprise-scale data platforms in cloud environments.
  • Strong preference for experience with Microsoft Azure, Google, and Databricks.
  • Experience architecting production AI/ML systems, including MLOps pipelines, LLM applications, and agentic frameworks.
  • Substantial experience in financial services, insurance, or another regulated industry.
  • Experience in the broking domain is strongly preferred.
  • Experience advising senior business leaders as a technical authority on architecture.

लाभ

  • Medical and prescription, dental, vision, life, and disability insurance.
  • Employee stock purchase plan, 401(k), student loan assistance, and tuition reimbursement.
  • Free mental health and enhanced advocacy services.
  • Paid time off.
  • Paid holidays.
  • Preferred partner discounts.

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