Lead Data Engineer – Palantir Foundry & AIP

Infojini Inc is seeking a highly experienced Lead Data Engineer with deep expertise in the Palantir ecosystem. The role involves leading the design and development of enterprise-scale data solutions, driving data platform strategy, and collaborating with stakeholders to deliver measurable business outcomes.

Responsibilities:

• Lead the design, development, and operationalization of scalable data pipelines, data products, and ontologies within Palantir Foundry
• Architect and govern datasets, transforms, workflows, and applications to ensure scalability, reliability, performance, and security
• Partner with business stakeholders, data product owners, and analysts to translate business requirements into Foundry-native solutions using PySpark , Python , Contour , and Workshop
• Drive best practices for data quality, lineage, governance, metadata management, and enterprise data standards
• Evaluate and implement Palantir AIP capabilities, including AI-powered workflows and LLM-driven use cases, to accelerate business value
• Provide technical leadership across onsite and offshore teams, including solution design, code reviews, architecture reviews, mentoring, and delivery oversight
• Establish engineering standards, development frameworks, and delivery processes to ensure consistent, high-quality execution
• Collaborate with cloud and infrastructure teams to optimize Palantir platform deployment, performance, and resource utilization
• Act as the primary Palantir subject matter expert (SME) for client stakeholders, stream leads, and delivery teams
• Participate in Agile ceremonies, roadmap planning, estimation, and sprint execution while driving continuous improvement across engineering practices

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
• 12+ years of experience in Data Engineering, Data Platforms, or Data Architecture
• 4+ years of hands-on experience delivering enterprise solutions using Palantir Foundry
• Experience with Palantir AIP and AI-enabled workflows
• Strong expertise in PySpark, Python, and SQL within large-scale data environments
• Deep understanding of: Palantir Ontologies, Object Types, Transforms, Pipeline Design, Data Modeling, Workshop Application Development
• Experience designing and implementing enterprise-scale data architectures and governed data products
• Strong knowledge of data lineage, metadata management, governance frameworks, and data quality controls
• Proven experience leading geographically distributed onsite and offshore engineering teams
• Excellent stakeholder management, communication, and presentation skills, including the ability to explain technical concepts to executive audiences
• Understanding of LLM integration patterns, GenAI applications, and AI-assisted decision-support systems
• Experience working in cloud environments such as AWS, Azure, or GCP
• Prior experience in client-facing consulting, delivery leadership, or enterprise transformation programs
• Exposure to data product management and business-driven data strategy initiatives