
1001 - 5000 employees
Founded 1973
💸 Finance
💰 Secondary Market on 2022-06
Finance • Insurance
AmeriLife is a leading independent marketing organization and registered investment advisor in the United States. It provides comprehensive insurance and financial solutions to agents, advisors, and consumers, aiming to help people live longer, healthier lives. AmeriLife collaborates with numerous carriers, financial marketing organizations (FMOs), and industry experts to deliver health and financial solutions to millions of Americans annually. With a vast network of over 300,000 client-centered agents and advisors, AmeriLife offers advanced technology solutions and tools, like the Agent Xcelerator®, to enhance service quality and business growth. Their commitment to leadership is evident in their extensive distribution network and innovative partnership opportunities.
🕒 April 11
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1001 - 5000 employees
Founded 1973
💸 Finance
💰 Secondary Market on 2022-06
Finance • Insurance
AmeriLife is a leading independent marketing organization and registered investment advisor in the United States. It provides comprehensive insurance and financial solutions to agents, advisors, and consumers, aiming to help people live longer, healthier lives. AmeriLife collaborates with numerous carriers, financial marketing organizations (FMOs), and industry experts to deliver health and financial solutions to millions of Americans annually. With a vast network of over 300,000 client-centered agents and advisors, AmeriLife offers advanced technology solutions and tools, like the Agent Xcelerator®, to enhance service quality and business growth. Their commitment to leadership is evident in their extensive distribution network and innovative partnership opportunities.
• Define and lead the enterprise data architecture for the modern data platform • Design scalable data models supporting analytics, reporting, and AI workloads • Lead data mapping initiatives between source systems and target data models • Design strong data relationships and schema structures • Implement Data Vault 2.0 modeling frameworks • Design robust dimensional models (star and snowflake schemas) • Establish enterprise data modeling, governance, and metadata standards • Partner closely with data engineering teams to translate architecture into production pipelines
• Expert-level SQL skills • Strong expertise in data modeling and schema design • Deep knowledge of Data Vault 2.0 • Strong experience with dimensional modeling • Experience designing complex data relationships and normalized data models • Experience with Databricks, Spark, or modern cloud data platforms
• PTO • medical • dental • vision • retirement savings • disability insurance • life insurance
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