(20/10/2025) Module Lead

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 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 s 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 Bachelor s or Master s degree in Computer Science Data Engineering or a related field AWS Palantir Snowflake Architect or Data Engineer Certification preferred EXPERIENCE 6-8 Years of data engineering and architecture experience with at least Hands-on experience with Palantir Foundry Quiver pipelines Workshop Ontology design Working knowledge on AWS data services S3 Glue Redshift Lambda IAM Athena Working with Snowflake warehouse design performance tuning secure data sharing Domain experience in life Science Pharma or regulated environments preferred TECHNICAL SKILLS Data Architecture Experience with hybrid data lake data warehouse architecture semantic modeling and consumption layer design Palantir Foundry Proficiency in Quiver pipelines Workshop applications Ontology modeling and Foundry permissioning Snowflake Deep understanding of virtual warehouses time travel data sharing access controls and cost optimization AWS Strong experience with S3 Glue Redshift Lambda Step Functions Athena IAM and monitoring tools e g CloudWatch ETL ELT Strong background in batch streaming data pipeline development using tools such as Airflow dbt or NiFi Programming Python SQL advanced Shell scripting experience with REST APIs and JSON XML formats Data Modeling Dimensional modeling third-normal form NoSQL document structures and modern semantic modeling Security Governance Working knowledge of data encryption RBAC ABAC metadata catalogs and data classification DevOps DataOps Experience with Git Jenkins Terraform CloudFormation CI CD for data workflows and observability tools SOFT SKILLS Strategic and analytical thinking with a bias for action Strong communication skills to articulate architecture to both technical and business audiences Ability to work independently and collaboratively in cross-functional global teams Strong leadership and mentoring capability for junior engineers and architects Skilled in stakeholder management technical storytelling and influencing without authority GOOD-TO-HAVE SKILLS Experience with Data Mesh or federated governance models Integration of AI ML models or LLMs with enterprise data architecture Familiarity with business intelligence platforms e g Tableau Power BI for enabling self-service analytics Exposure to vector databases or embedding-based search systems 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 Flexible work arrangements Free spirit and emotional positivity Agile self-determination trust transparency and open collaboration All Support needed for the realization of business goals Stable employment with a great atmosphere and ethical corporate culture