Module Lead - Palantir Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Palantir Professionals in the following areas :

Job Description

Position Title : Data Architect – Data Engineering

Scope Of Responsibility

As a Data Architect – Data Engineering, you will play a key role in shaping Client Life Science&aposs modern data ecosystem that integrates Palantir Foundry, AWS cloud services, and Snowflake. Your responsibility will be to architect scalable, secure, and high-performing data pipelines and platforms that power advanced analytics, AI / ML use cases, and digital solutions across the enterprise.

You will lead design efforts and provide architectural governance across data ingestion, transformation, storage, and consumption layers—ensuring seamless interoperability across platforms while enabling compliance, performance, and cost-efficiency.

Purpose Of The Position

The role aims to define and implement future-ready, cloud-native, and platform-agnostic data architecture that unifies business, scientific, and operational data assets. You will enable Clients Life Science organization to make informed, data-driven decisions at scale, while ensuring architectural alignment with security, governance, and business agility.

Roles & Responsibilities

• Design and maintain an integrated data architecture that connects Palantir Foundry, AWS services, and Snowflake, ensuring secure, scalable, and performant data access.
• Define and govern enterprise-wide standards for data modeling, metadata, lineage, and security across hybrid environments.
• Architect high-throughput data pipelines that support batch and real-time ingestion from APIs, structured / unstructured sources, and external platforms.
• Collaborate with engineering, analytics, and product teams to implement analytical-ready data layers across Foundry, Snowflake, and AWS-based lake houses.
• Define data optimization strategies including partitioning, clustering, caching, and materialized views to improve query performance and reduce cost.
• Ensure seamless data interoperability across Palantir objects (Quiver, Workshop, Ontology), Snowflake schemas, and AWS S3-based data lakes.
• Lead DataOps adoption including CI / CD for pipelines, automated testing, quality checks, and monitoring.
• Govern identity and access management using platform-specific tools (e.g., Foundry permissioning, Snowflake RBAC, AWS IAM).
• Drive compliance with data governance frameworks, including auditability, PII protection, and regulatory requirements (e.g., GxP, HIPAA).
• Evaluate emerging technologies (e.g., vector databases, LLM integration, Data Mesh) and provide recommendations.
• Act as an architectural SME during Agile Program Increment (PI) and Sprint Planning sessions.

Education & Certifications

Experience

Technical Skills

Soft Skills

Good-to-have Skills

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

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Skills Required

Data Modeling, snowflake , Data Architecture, Security Governance, Python, Sql, Aws