[Hiring] Senior Data Solution Engineer @Aretum

Role Description

Aretum is seeking a Senior Data Solution Engineer that will focus on designing data governance, tagging, and metadata standards and working with medallion architecture. The Senior Data Solution Engineer will support consequential design decisions and assist with determining whether solutions scale or accumulate technical debt.

Due to the nature of our work as a federal consulting organization, employees may be expected to handle Controlled Unclassified Information (CUI) and must adhere to applicable safeguarding and compliance requirements.

Responsibilities

• Design and implement data management and governance solutions within Databricks and Unity Catalog, ensuring data sets are properly classified, documented, secured, and managed throughout their life cycle.
• Support data architecture and design decisions by evaluating solution scalability, maintainability, and performance.
• Develop and implement data governance tagging, meta standards, and classification frameworks to support data discovery, traceability, compliance, and consistent governance practices.
• Define and enforce governance requirements across Bronze, Silver, and Gold layers of the medallion architecture, ensuring metadata, data sensitivity classifications, and access controls evolve appropriately as data is transformed and refined.
• Implement and maintain column level masking, row level security, and dynamic access controls to protect sensitive data while enabling authorized access for appropriate users and business purposes.
• Develop and optimize data pipelines using SQL and Spark, ensuring reliable, scalable and efficient data processing in production environments.
• Collaborate with technical teams, data owners, security stakeholders, and business partners to reconcile competing requirements and translate them into practical data solutions.

Qualifications

• BS/BA degree and 6 years of direct production experience on Databricks and Unity Catalog, or an equivalent combination of education and experience.
• Demonstrated experience designing data governance, tagging, and metadata standards.
• Deep understanding of the medallion architecture and how metadata, sensitivity, and access requirements evolve across Bronze, Silver, and Gold.
• Experience implementing column masking, row-level security, and dynamic access controls.
• Ability to reconcile competing requirements across stakeholders.
• Strong SQL and Spark proficiency in defining pipeline configuration and data contracts declaratively (e.g., YAML) as version-controlled, enforceable artifacts.

Preferred Skills

• Exposure to cybersecurity challenges, OCSF, and threat intelligence.

Travel Requirements

This is a remote position; however, occasional travel may be required based on project needs, client meetings, team collaboration events, or training sessions. Travel is expected to be less than 10% and will be communicated in advance whenever possible.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off
• Family Leave (Maternity, Paternity)
• Short Term & Long-Term Disability
• Training & Development

U.S. Work Authorization

Due to federal contract requirements, only U.S. citizens are eligible for this position. This position supports a federal government contract and requires the ability to obtain and maintain a Public Trust or Suitability Determination, depending on the agency’s background investigation requirements.

Salary Range

Salary Range: $100,000–$130,000 annually. Final compensation will be determined based on factors including education, experience, qualifications, skills, and applicable contract requirements.