Senior Data Engineer - Palantir Job
Senior data architect/engineer role in Bangalore designing a modern data ecosystem for life-sciences clients, integrating Palantir Foundry, AWS, and Snowflake. Day to day involves architecting scalable data pipelines, governing data modeling/security/lineage standards, optimizing performance and cost, and leading DataOps practices.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 6-8 years of data engineering and architecture experience
- Hands-on experience with Palantir Foundry (Quiver pipelines, Workshop, Ontology design)
- Working knowledge of AWS data services (S3, Glue, Redshift, Lambda, IAM, Athena)
- Experience with Snowflake (warehouse design, performance tuning, secure data sharing)
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- Experience with hybrid data lake/data warehouse architecture, semantic modeling, and consumption layer design
- Proficiency in Quiver pipelines, Workshop applications, Ontology modeling, and Foundry permissioning
- Strong background in batch/streaming data pipeline development using tools such as Airflow, dbt, or NiFi
- Python, advanced SQL, shell scripting; experience with REST APIs and JSON/XML formats
- Data modeling: dimensional modeling, third-normal form, NoSQL/document structures, modern semantic modeling
- Working knowledge of data encryption, RBAC/ABAC, metadata catalogs, and data classification
- Experience with Git, Jenkins, Terraform/CloudFormation, CI/CD for data workflows, and observability tools
- Strong communication skills to articulate architecture to technical and business audiences
- Leadership and mentoring capability for junior engineers and architects
Nice to have
- AWS/Palantir/Snowflake Architect or Data Engineer certification
- Domain experience in Life Sciences/Pharma or regulated environments
- Experience with Data Mesh or federated governance models
- Integration of AI/ML models or LLMs with enterprise data architecture
- Familiarity with business intelligence platforms (Tableau, Power BI) for self-service analytics
- Exposure to vector databases or embedding-based search systems
Full description
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 DescriptionExperience required: 6-8 years
Position Title: Data Architect – Data Engineering
Location: Bangalore
SCOPE OF RESPONSIBILITY:
As a Data Architect – Data Engineering, you will play a key role in shaping clients 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.