Palantir Foundry Architect, Data Pipeline Engineer

Sikich LLC; Alexandria (VA); On-site; USD 155,000 - 170,000; Full time

Benefits offered by this job

Flexible Time Off

Paid holidays

Wellness program

401(k) with employer contributions

Tuition reimbursement

Job summary

Tantus, a Sikich Subsidiary, is seeking a Palantir Foundry Analyst/Developer to support FAA enterprise data and analytics platforms. You will design and maintain Foundry data solutions, model data with Ontology, and develop pipelines and AI integrations.

The role is anticipated to be remote with onsite reporting in Washington, DC as needed, requiring a strong Foundry background and experience in enterprise data environments.

Qualifications

• Bachelor's degree or higher in a technical field.
• 5+ years implementing Palantir Foundry in a large enterprise.
• Strong knowledge of Ontology, asset/catalog management, lineage, governance, security, pipelines, APIs, Python, and SQL.
• Preference for regulated industries such as aviation, government, healthcare, or finance.

Responsibilities

• Design, build, and maintain scalable data solutions on Palantir Foundry.
• Work directly with Palantir Ontology to model enterprise data.
• Develop data objects, actions, Foundry applications, workflows, and data pipelines.
• Implement Foundry AI solutions and integrate data with AI/ML platforms.
• Support users, product owner, user groups, documentation, training materials, and stakeholder engagement.

Skills

Palantir Foundry

Ontology

Python

SQL

Data governance

Education

Bachelor's degree in computer science, electrical engineering, or related field

Job description

Tantus, a Sikich Subsidiary, is seeking a Palantir Foundry Analyst/Developer to support FAA enterprise data and analytics platforms. You will design and maintain Foundry data solutions, model data with Ontology, and develop pipelines and AI integrations.

The role is anticipated to be remote with onsite reporting in Washington, DC as needed, requiring a strong Foundry background and experience in enterprise data environments.