Enterprise Architect – Data & Employee Systems (Databricks)

ECS is seeking an Enterprise Architect – Data & Employee Systems (Databricks) to work remotely.

This role designs and owns the enterprise data architecture for employee data, using Databricks as the core platform. The person in this role translates company policy, data standards, and business logic into a secure, scalable, and compliant architecture that other teams build on.

Key Responsibilities

1. 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.

1. 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.

1. 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.

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

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

1. 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.

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

Salary Range: $150,000 - $170,000

General Description of Benefits

• 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)