Enterprise Architect - Data & Employee Systems (Databricks)

ECS Corporate Services

Fairfax (VA)

Remote

USD 150,000 - 170,000

Full time

14 days+

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Job summary

ECS Corporate Services is seeking an Enterprise Architect - Data & Employee Systems (Databricks) to design and own the company-wide data architecture for employee data, leveraging Databricks as the core platform. The role involves translating policy, standards, and business logic into a secure, scalable architecture.

You will lead governance, security, and platform best practices, collaborate with HR, Legal, and IT, and drive a roadmap for the employee data platform while enabling trusted

Qualifications

  • Hands-on experience with Databricks including Delta Lake and Unity Catalog.
  • Proof of designing enterprise-level data architecture for HR or sensitive data.
  • Strong knowledge of data governance, privacy regulations, and compliance.
  • Ability to translate policy into technical specifications for architecture.

Responsibilities

  • Design end-to-end data architecture for employee data on Databricks.
  • Translate policy and standards into concrete architecture and data models.
  • Encode business rules into the data architecture.
  • Define data access controls, lineage, and audit mechanisms.
  • Set best practices for Databricks usage and cost optimization.
  • Collaborate with data engineers, security, HR systems, and compliance.
  • Maintain diagrams, dictionaries, and a roadmap for the platform.

Skills

Databricks
Delta Lake
Unity Catalog
Workflows
Cluster management
Cost optimization
Data governance
Data modeling
Privacy compliance
Communication

Tools

Azure
AWS
GCP

Job description

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
  • 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.

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)
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