[Hiring] Senior Data Architect @AmeriLife

Role Description

The Senior Data Architect is a senior technical leader responsible for defining, designing, and governing AmeriLife’s enterprise data architecture across modern cloud platforms. This role leads the design of scalable, secure, and high-performing data platforms, enterprise data models, semantic models, and data products that enable analytics, AI, governance, regulatory reporting, and enterprise decision making.

• 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 data models, semantic models, dimensional models, Data Vault 2.0 models, and normalized data models to support operational and analytical workloads.
• 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 large-scale analytical workloads, data transformations, data quality validation, and performance optimization.
• Partner with Data Engineering teams to ensure architecture standards and enterprise data models are consistently 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 (MDM), 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.

Qualifications

• Bachelor's degree in computer science, Information Systems, Engineering, or a related field. Master’s degree preferred.
• 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 (MDM), reference data management, and data quality.
• Excellent analytical, communication, and stakeholder management skills.

Requirements

• Microsoft Azure Solutions Architect Expert or equivalent certifications.
• Databricks Certified Data Engineer Professional or equivalent certification.
• 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.

Benefits

• A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.