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Palantir Architect

Job in 500001, Hyderabad, Telangana, India
Listing for: Prudent Technologies and Consulting, Inc.
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below
About the Role
We are seeking a highly skilled and experienced Hands-on Palantir Architect to join our dynamic team. In this pivotal role, you will be responsible for the end-to-end design, development, and implementation of complex data solutions on the Palantir platform. The ideal candidate is not only a seasoned architect but also a proficient developer who can dive deep into code, build robust data pipelines, and create powerful applications that deliver critical insights.

Key Responsibilities
Architect and Design:  Lead the technical design and architecture of solutions on the Palantir platform, ensuring scalability, performance, and security.
Hands-on Development:  Actively participate in the development of data pipelines using PySpark, Spark SQL, Type Script and Python to transform and integrate data from various sources.
Application Building:  Construct and configure interactive applications and dashboards using Palantir's tools, such as Workshop, Quiver, and Slate.
Technical Leadership:  Serve as a technical expert and mentor for junior team members, fostering best practices and knowledge sharing within the team.
Stakeholder

Collaboration:

Work closely with business stakeholders, data scientists, and engineers to translate business requirements into technical solutions.
Solution Optimization:  Identify and address performance bottlenecks, ensuring the efficiency and reliability of data pipelines and applications.

Required Qualifications

Experience:

4+ years of experience as a Palantir Architect, or Palantir Solution Developer.
Platform Expertise:  Deep, hands-on experience with Palantir Foundry or Palantir Gotham, including data integration, ontology modeling, and application development.
Programming

Skills:

Strong proficiency in Type Script, Python and PySpark is essential.

Experience with Scala and SQL is a plus.
Data Fundamentals:  Solid understanding of data warehousing, ETL/ELT processes, and data modeling concepts.
Communication:  Excellent verbal and written communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications

Certifications:

Palantir Certified Architect or other relevant certifications.
Problem-Solving:  Proven track record of solving complex technical challenges in a fast-paced environment.
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