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# Enterprise Architect - Data & Employee Systems (Databricks)

- **Company:** Everforth Ecs
- **Location:** United States (Remote available)
- **Salary:** $150,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Logic, Microsoft Azure, Cloud Computing, Data Architecture, Data Dictionary, Data Governance, Dimensional Modeling, HR Software, Data Lakes, Data Lineage, Data Management, Databricks
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=441163c74ae5ad5c

## About the Role

* Strong hands-on experience with Databricks (Delta Lake, Unity Catalog, Workflows, cluster/compute management)

 * Proven experience designing enterprise-level data architecture, ideally for HR/employee data or other sensitive datasets

 * Solid understanding of data governance, privacy regulations, and compliance standards

 * Ability to translate business and legal policy into technical specifications

 * Experience with data modeling (dimensional modeling, master data management)

 * Familiarity with cloud platforms (Azure, AWS, or GCP) since Databricks runs on top of these

 * Strong communication skills to work across technical and non-technical stakeholders (HR, Legal, IT, Compliance)

## Description

* Architecture Design
Design end-to-end data architecture for employee data (HR, payroll, benefits, performance, etc.) on Databricks, including data lakehouse structure, pipelines, and governance layers.

 * Policy & Standards Translation
Convert company policy (e.g., data privacy, retention, access control) and industry standards (e.g., GDPR, SOC 2, HIPAA where relevant) into concrete technical architecture and data models.

 * Business Logic Implementation
Partner with HR, Legal, and business stakeholders to encode business rules (eligibility, compensation logic, org hierarchy, etc.) directly into the data architecture.

 * Governance & Security
Define data access controls, lineage tracking, and audit mechanisms using Databricks Unity Catalog or equivalent governance tools.

 * Platform Leadership
Set best practices for Databricks usage across the organization - including Delta Lake, workflows, cluster management, and cost optimization.

 * Cross-Functional Collaboration
Work with data engineers, security teams, HR systems owners, and compliance officers to ensure the architecture meets both technical and regulatory needs.

 * Documentation & Roadmap
Maintain architecture diagrams, data dictionaries, and a roadmap for evolving the employee data platform.