Senior Data Engineer (Palantir Foundry/Databricks)

Location: Remote, open to candidates based in Argentina, Canada, or the United States, with willingness to travel as needed to Cleveland, Ohio.

Company

hirify.global is a global digital consultancy that builds integrated Growth Operating Systems through engineering, data, AI, and creative expertise.

What you will do

• Reverse-engineer capabilities built on Palantir Foundry for a client migration project.
• Rebuild equivalent data capabilities on Databricks.
• Design data models and translate business workflows into working applications.
• Run client working sessions, explain technical trade-offs, and provide informed pushback when needed.
• Collaborate with client stakeholders in a high-visibility, client-facing role.

Requirements

• 8+ years of total professional experience.
• Experience working at Palantir as an FDE, FDSE, or Deployment Strategist, or meaningful client-side experience building on Foundry; superficial exposure is insufficient.
• Hands-on experience with Foundry Ontology, including object types, links, actions, and functions, as well as Pipeline Builder, Code Repositories, and Workshop apps.
• Strong Databricks experience with PySpark, Delta Lake, Unity Catalog, and workflows or pipelines.
• Strong Python and SQL skills.
• Ability to design data models and translate business workflows into working applications.
• Comfort working directly with client stakeholders and leading technical discussions.
• Excellent written and verbal English communication, collaboration, analytical, and problem-solving skills.
• Self-sufficient, professional, adaptable, and able to work independently with minimal supervision while maintaining high-quality results.

Nice to have

• Prior experience migrating from Foundry to another platform.
• Production experience with AIP, Databricks Mosaic AI, agents, or generative AI use cases.
• Knowledge graph or semantic layer experience.
• Application-layer development with Databricks Apps, React, or Streamlit.
• Manufacturing, retail, or product data domain experience.

Culture & Benefits

• Remote work for candidates based in Argentina, Canada, or the United States.
• Travel to Cleveland, Ohio may be required as needed.
• Flexible, inclusive environment centered on respectful and fulfilling collaboration.
• Autonomy, resources, and opportunities to develop professionally and learn new technologies.