Enterprise Architect – Data & Employee Systems (Databricks)

Everforth, Inc.

United States

Remote

USD 140,000 - 210,000

Full time

2 hours ago
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Job summary

Everforth ECS in the United States is seeking an Enterprise Architect – Data & Employee Systems to design and own the data architecture for employee data on Databricks, including governance and security considerations, while working remotely.

You will translate policy and standards into technical data models, lead platform decisions, and collaborate with HR, Legal, security, and IT to ensure compliance and scalable solutions across the enterprise.

Qualifications

  • Hands-on design of enterprise data architecture for HR data on Databricks.
  • Translate policy, standards, and business logic into technical data models.
  • Experience with data governance and privacy regulations.

Responsibilities

  • Design end-to-end data architecture for employee data on Databricks (HR, payroll, benefits, performance).
  • Translate company policy and industry standards into concrete technical architecture and data models.
  • Encode business rules (eligibility, compensation logic, org hierarchy) into the data architecture.
  • Define data access controls, lineage tracking, and audit mechanisms with Unity Catalog or similar.
  • Set best practices for Databricks usage across the organization (Delta Lake, workflows, compute management).
  • Collaborate with data engineers, security, HR systems owners, and compliance to ensure regulatory needs.
  • Maintain architecture diagrams, data dictionaries, and a roadmap for the employee data platform.

Skills

Databricks
HRIS integration
TOGAF/Zachman

Tools

Delta Lake
Unity Catalog
Workflows

Job description

#5328

Work from home, Virginia, United States

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.
  • 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)
Desired Skills
  • Certification in Databricks (e.g., Databricks Certified Data Engineer or Architect)
  • Experience with HRIS platforms ( Peoplesoft, Workday , SAP SuccessFactors, etc.) and integrating them into a data lakehouse
  • Background in enterprise architecture frameworks (TOGAF, Zachman)

#EverforthECS1

ECSFederal LLCis an equal opportunity employer and does not discriminate or allow discrimination on thebasisany characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or localjurisdictionlaw.

Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference withEverforthECS!

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