Enterprise Architect – Data & Employee Systems (Databricks)
About The Position
ECS is seeking an Enterprise Architect to design and own enterprise data architecture for employee data, using Databricks as the core platform. The role translates company policy, data standards, and business logic into secure, scalable, and compliant architecture for other teams to build on. It is remote and offers a salary range of $150,000–$170,000. The architect will design end-to-end architecture for employee data such as HR, payroll, benefits, and performance information, including lakehouse structure, pipelines, governance, and security. They will work with HR, Legal, business stakeholders, data engineers, security teams, HR systems owners, and compliance officers to ensure the platform meets technical and regulatory needs. The role also establishes Databricks best practices and maintains architecture documentation and a roadmap for the employee data platform.
Requirements
- Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, Workflows, and cluster or compute management.
- Proven experience designing enterprise-level data architecture, ideally for HR or 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, including dimensional modeling and master data management.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Strong communication skills for working with technical and non-technical stakeholders, including HR, Legal, IT, and Compliance.
Responsibilities
- Design end-to-end Databricks data architecture for employee data, including lakehouse structure, pipelines, and governance layers.
- Translate company policies and industry standards into technical architecture and data models.
- Partner with HR, Legal, and business stakeholders to implement business rules such as eligibility, compensation logic, and organizational hierarchy in the data architecture.
- Define data access controls, lineage tracking, and audit mechanisms using Databricks Unity Catalog or equivalent tools.
- Set organizational best practices for Databricks, including Delta Lake, workflows, cluster management, and cost optimization.
- Collaborate with data engineers, security teams, HR systems owners, and compliance officers to meet technical and regulatory needs.
- Maintain architecture diagrams and data dictionaries, and develop a roadmap for the employee data platform.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
