Director, Data Architecture – Governance

🕒 il y a 1 jour

🐊 Florida, Montana, +3 états de plus – Distant

🐊 Florida – Remote 🦬 Montana – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ⚓ Rhode Island – Remote

💵 $195 000 - $210 000 / an

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

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AmeriLife

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1973

🏥 Santé

💼 Conseil

💸 Finance

💰 Secondary Market en 2022-06

Healthcare • Consulting • Finance

AmeriLife est une organisation indépendante de premier plan spécialisée dans le marketing et un conseiller en investissements agréé aux États-Unis. Elle offre des solutions complètes en assurance et en finance aux agents, conseillers et consommateurs, avec pour objectif d'aider les personnes à vivre plus longtemps et en meilleure santé. AmeriLife collabore avec de nombreux assureurs, organisations de marketing financier (FMO) et experts du secteur pour fournir des solutions de santé et financières à des millions d'Américains chaque année. Avec un vaste réseau de plus de 300 000 agents et conseillers axés sur le client, AmeriLife propose des solutions technologiques avancées et des outils, comme l'Agent Xcelerator®, pour améliorer la qualité du service et la croissance des affaires. Leur engagement envers le leadership est évident à travers leur réseau de distribution étendu et des opportunités de partenariat innovantes.

Description

• Define and own the enterprise data architecture strategy, roadmap, standards, and reference architectures • Design scalable cloud-native data platforms using Databricks Lakehouse, Delta Lake, Unity Catalog, and modern data engineering principles • Lead architecture for enterprise data products, analytics, AI, and operational data platforms • Establish enterprise integration patterns, canonical data models, and reusable architecture frameworks • Conduct architecture reviews and evaluate emerging technologies • Lead conceptual, logical, and physical enterprise data modeling • Define standards for dimensional modeling, Data Vault 2.0, semantic layer modeling, canonical modeling, and master data modeling • Own enterprise information architecture and develop reusable enterprise data models and design patterns • Establish and lead the enterprise data governance framework, including policies, standards, stewardship processes, and operating models • Lead metadata management, business glossary, lineage, catalog, reference data, and master data initiatives • Establish data quality strategy, standards, scorecards, monitoring, remediation processes, and automated quality controls • Serve as lead architect for complex enterprise initiatives and design solution architectures • Develop architecture standards, reusable frameworks, and reference implementations • Participate in architecture reviews, code reviews, design workshops, and proof-of-concepts • Review SQL, Spark, Python, and Databricks implementations • Troubleshoot complex data architecture, integration, modeling, metadata, and performance challenges • Mentor architects and engineering teams • Build, mentor, and lead a team of enterprise data architects and governance professionals • Establish architecture review boards and governance councils • Partner with Engineering, AI, Reporting, Infrastructure, Security, and business leaders • Communicate architecture strategy and technology direction to executive leadership • Foster technical excellence, innovation, governance, and continuous improvement

🎯 Exigences

• Bachelor's degree in computer science, Information Systems, Engineering, or a related discipline • 10+ years of experience in enterprise data architecture, data engineering, or enterprise information management • 5+ years leading enterprise architecture or technical teams • Expert-level SQL development and query optimization • Strong hands-on experience with Python, Apache Spark, and modern data engineering practices • Deep expertise with Databricks Lakehouse, Delta Lake, Unity Catalog, and cloud-native data platforms • Extensive experience designing enterprise-scale data architectures on Azure or AWS • Expert knowledge of dimensional modeling, Data Vault 2.0, semantic layer design, canonical data models, and master data modeling • Extensive experience with enterprise data modeling tools such as ERwin, ER/Studio, Sparx Enterprise Architect, or equivalent • Experience implementing enterprise metadata management, lineage, business glossary, and data catalog solutions • Strong experience implementing enterprise MDM and data governance frameworks • Experience implementing enterprise data quality frameworks and automated quality controls • Experience with CI/CD, Infrastructure as Code, and modern DevOps practices • Excellent communication, executive presentation, and stakeholder management skills • Preferred certifications: Certified Data Vault 2.0 Practitioner or Professional; Databricks Certified Data Engineer Associate or Professional; Microsoft Certified: Azure Solutions Architect Expert; AWS Certified Solutions Architect Associate or Professional; DAMA Certified Data Management Professional • Microsoft Purview, Collibra, Alation, or Informatica governance certifications are a plus • Background screening may include employment verification, education verification, criminal history checks, and other job-related inquiries

🏖️ Avantages

• PTO • Medical insurance • Dental insurance • Vision insurance • Retirement savings • Disability insurance • Life insurance • Discretionary annual bonus eligibility