Enterprise Data Architect
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Responsibilities
- 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
- Core Technical Skills
- 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
- Additional Expectations
- Passion for data architecture and modeling
- Excellent communication and collaboration skills
- Ability to work closely with engineering, analytics, and business teams
- Bonus Qualifications
- Databricks certification
- AWS or Azure cloud certification
- Certified Data Vault 2.0 practitioner
Benefits
Additional Information
Our Company Explore how you can contribute at AmeriLife. For over 50 years, AmeriLife 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. Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry. Job Summary We are seeking an Enterprise Data Architect who is deeply passionate about the craft of data architecture and building well-structured, scalable data systems. This role will define the architecture and modeling standards for AmeriLife's modern enterprise data platform built on Databricks and Lakehouse architecture. The ideal candidate brings deep expertise in data relationships, enterprise data modeling, and source-to-target data mapping, with the ability to translate complex business processes into scalable and high-performing data models that support analytics, AI, and operational systems. Job Description
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Company Intel
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