Enterprise Data Architect

AmeriLife

2d•$160,000 - $190,000

About The Position

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.

Requirements

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
Passion for data architecture and modeling
Excellent communication and collaboration skills
Ability to work closely with engineering, analytics, and business teams

Nice To Haves

Databricks certification
AWS or Azure cloud certification
Certified Data Vault 2.0 practitioner

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