Senior Data Security Architect

For over 50 years, Ameri Life has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement.

The Senior Data Architect is a senior technical leader responsible for defining, designing, and governing Ameri Life'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.
• 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.

• 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, lake houses, semantic layers, and enterprise data products.
• Strong knowledge of Azure cloud services including Azure Data Lake Storage, Azure Data Factory, Microsoft Entra , Azure Functions, and related services.
• Experience implementing CI/CD, Infrastructure as Code, Git, and Dev Ops best practices.
• Strong understanding of metadata management, lineage, governance, master data management (MDM), reference data management, and data quality.
• 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 with in financial services, insurance, or other highly regulated industries.

• Enterprise Data Architecture
• Enterprise Data Modeling
• Conceptual, Logical, Physical Data Modeling
• Data Vault 2.0
• Canonical Data Modeling
• Databricks Lakehouse
• Expert SQL
• SQL Performance Tuning
• Python
• Azure Data Lake Storage
• Azure Data Factory
• Microsoft Entra
• Data Modeling Tools (Erwin, ER/Studio, Visio)
• Metadata Management
• Data Governance
• Master Data Management (MDM)
• Reference Data Management (RDM)
• Data Quality
• Performance Optimization
• Data modeling expertise

This role may be eligible for a discretionary annual bonus.

Salary offers will vary commensurate with experience, education, skills, and training.

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

We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law.

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