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Location
In office (Houston)
Seniority
Principal

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 2, 2026. LTM scores B on the Alion truth index.

Overview
Company
Impact
Profile match

LTM

LTM (formerly LTIMindtree) is a prominent global technology consulting and digital solutions enterprise that delivers comprehensive IT, cloud, and business transformation services to multinational corporations. Headquartered in Mumbai, India, the company operates an extensive international delivery network specializing in artificial intelligence, data engineering, and enterprise systems integration. As a subsidiary of the industrial conglomerate Larsen & Toubro, it partners with leading organizations across sectors such as banking, healthcare, and manufacturing to drive operational efficiency and digital modernization.

Palantir Architect

Job Summary

Seeking a skilled Data Engineer proficient in SQL Python Spark to design and optimize scalable data solutions within Palantir Foundry environment

Job Description

Must have strong knowledge of SQL Python Spark and Hadoop

Experience with Python Spark and TypeScript for data processing and application development

Optimize performance of data transformations and analytical queries

Collaborate with crossfunctional teams to understand business requirements and translate them into effective data solutions with offshore team

Familiarity with designing and implementing scalable data pipelines and workflows using Palantir Foundry

Working knowledge of Palantir modules such as Contour Quiver Vertex and app development

Develop and maintain data models ontology layers and operational dashboards

Ensure data quality integrity and governance across all Palantirbased solutions

Stay updated with Palantir platform updates and best practices

Desired skills include Workshop level 4 Quiver level 4 AIP level 3 Pipeline Builder level 3 Code Repository level 3 PySpark level 3 and Ontology level 3

Roles and Responsibilities

Design develop and optimize scalable data pipelines and workflows

Collaborate with stakeholders to gather and analyze business requirements

Translate business needs into technical data solutions leveraging Palantir Foundry

Maintain and enhance data models ontology layers and dashboards to support analytics

Monitor and improve data quality integrity and governance standards

Utilize modules like Contour Quiver and Vertex for application development

Participate in code repository management and pipeline building activities

Continuously update skills and knowledge on Palantir platform features and best practices

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