Senior Data Architect

🕒 il y a 1 jour

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

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

💵 $165 000 - $170 000 / an

⏰ Temps Plein

🟠 Senior

🚰 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

• Lead the architecture and design of enterprise data platforms, enterprise data products, and modern lakehouse solutions • Define and maintain enterprise conceptual, logical, and physical data models across business domains • Design canonical, semantic, dimensional, Data Vault 2.0, and normalized data models • Establish enterprise data modeling standards, naming conventions, modeling best practices, and architecture governance • Design scalable data solutions using Databricks Lakehouse, Delta Lake, Unity Catalog, and modern cloud technologies • Develop and optimize complex SQL solutions for analytical workloads, transformations, data quality validation, and performance optimization • Partner with Data Engineering teams to ensure architecture standards and enterprise data models are implemented • Lead architecture reviews, solution design sessions, and technical governance across enterprise initiatives • Design metadata-driven frameworks, reusable architecture patterns, and standardized data pipelines • Partner with Data Governance teams on metadata, lineage, stewardship, business glossary, master data management, and data quality • Optimize platform scalability, performance, reliability, security, and cost efficiency • Mentor architects and engineers on enterprise architecture, data modeling, SQL optimization, and engineering best practices • Evaluate emerging technologies and recommend future-state architecture aligned with enterprise strategy

🎯 Exigences

• Bachelor's degree in computer science, Information Systems, Engineering, or a related field • 10+ years of experience in enterprise data architecture and enterprise data modeling • 5+ years of experience designing cloud-native data platforms and modern data architectures • Expert-level SQL skills, including query optimization, execution plan analysis, indexing strategies, window functions, stored procedures, complex joins, and performance tuning • Strong hands-on experience with the Databricks Lakehouse Platform • Deep expertise in conceptual, logical, physical, dimensional, semantic, and Data Vault 2.0 data modeling • Extensive experience with enterprise data modeling tools such as Erwin Data Modeler, ER/Studio, Lucidchart, Visio, or equivalent platforms • Strong experience with Apache Spark, Delta Lake, Unity Catalog, Python, and SQL • Experience designing enterprise data warehouses, lakehouses, semantic layers, and enterprise data products • Strong knowledge of Azure cloud services including Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID, Azure Functions, and related services • Experience implementing CI/CD, Infrastructure as Code, Git, and DevOps best practices • Strong understanding of metadata management, lineage, governance, master data management, reference data management, and data quality • Excellent analytical, communication, and stakeholder management skills • Microsoft Azure Solutions Architect Expert or equivalent certifications preferred • Databricks Certified Data Engineer Professional or equivalent certification preferred • Experience implementing enterprise metadata repositories and data catalogs • Experience with Snowflake Secure Data Sharing • Experience supporting AI, machine learning, and enterprise analytics platforms • Experience within financial services, insurance, or other highly regulated industries

🏖️ Avantages

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