Palantir Foundry Professional

Infosys; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Infosys is seeking a senior data engineering leader to shape modern data platforms on Palantir Foundry from requirements to production rollout.

You will design scalable pipelines, enforce data quality, and drive governance and security across datasets while mentoring engineers and aligning delivery with business needs.

Qualifications

• MTech
• Bachelor of Engineering
• BTech

Responsibilities

• Lead end-to-end delivery of data engineering solutions on Palantir Foundry, from requirement discovery to production rollout.
• Design and implement scalable data pipelines, transformations, and curated datasets aligned to business use cases using Foundry tooling.
• Define data modeling approaches and ensure high data quality through validation, reconciliation, and monitoring practices within Foundry.
• Establish engineering standards for versioning, testing, documentation, and release management within Foundry workflows, including CI/CD patterns.
• Collaborate with product owners, analysts, and downstream consumers to deliver reliable, well-governed data products leveraging Foundry's Ontology.
• Configure and maintain Foundry data governance capabilities such as lineage, metadata management, and dataset certification.
• Troubleshoot pipeline failures and performance bottlenecks in Foundry; drive root-cause analysis and preventive improvements.
• Mentor engineers and provide guidance on Foundry best practices and reusable patterns.
• Partner with platform and operations teams to define operational readiness for Foundry-based production workloads.

Job description

Step into a leadership role where you will shape modern data platforms and help teams turn complex data into trusted, actionable insights. In this role, you will lead the design and delivery of scalable data solutions using Palantir Foundry, partnering closely with stakeholders to understand business needs and translate them into reliable data products. You will guide engineering best practices, drive high-quality implementations, and ensure solutions are secure, maintainable, and performance-oriented. You will also mentor team members, promote strong collaboration across functions, and contribute to a culture of ownership and continuous improvement. If you enjoy solving challenging data problems, building robust pipelines, and leading delivery with clarity and accountability, this opportunity offers the right mix of technical depth and leadership impact.

Roles Responsibilities

Key Responsibilities

• Lead end-to-end delivery of data engineering solutions on Palantir Foundry, from requirement discovery to production rollout.
• Design and implement scalable data pipelines, transformations, and curated datasets aligned to business use cases using Foundry tooling (e.g., Pipeline Builder/Code Repositories, Ontology, and Workshop/Contour where applicable).
• Define data modeling approaches and ensure high data quality through validation, reconciliation, and monitoring practices within Foundry.
• Establish engineering standards for versioning, testing, documentation, and release management within Foundry workflows, including CI/CD patterns for Foundry repositories.
• Collaborate with product owners, analysts, and downstream consumers to deliver reliable, well-governed data products, leveraging Foundry's Ontology to enable consistent business semantics and consumption.
• Configure and maintain Foundry data governance capabilities such as lineage, metadata management, and dataset certification to improve trust and auditability.
• Troubleshoot pipeline failures and performance bottlenecks in Foundry; drive root-cause analysis and preventive improvements, including optimization of transforms and compute usage.
• Ensure solutions adhere to security, access controls, and governance requirements across datasets and workflows, implementing least-privilege access and policy-based controls in Foundry.
• Mentor engineers, conduct technical reviews, and provide guidance on Foundry best practices, reusable patterns, and implementation choices.
• Partner with platform and operations teams to define operational readiness (monitoring, alerting, SLAs/SLOs, incident response) for Foundry-based production workloads.

Technical Requirement

• Bachelor of Engineering or equivalent undergraduate degree.
• 5-8 years of overall experience in data engineering and platform delivery responsibilities.
• Hands-on experience delivering data engineering solutions using Palantir Foundry.
• Proven ability to lead technical delivery, manage priorities, and coordinate with cross-functional stakeholders.
• Strong understanding of data pipeline design, data quality controls, and operational support for production workloads.

Preferred Qualifications

• Experience leading small-to-mid sized engineering teams and driving best practices across delivery and operations.
• Strong experience with data governance concepts including lineage, access controls, and auditability in enterprise environments.
• Demonstrated success in building reusable data assets and standardized patterns to accelerate delivery across use cases.
• Experience working with large-scale datasets and optimizing performance, reliability, and maintainability of pipelines.
• Ability to communicate technical decisions clearly to both technical and non-technical stakeholders.

Additional Responsibility

• Good to have skills:
• SQL, Python, Data Modeling, ETL/ELT Design Patterns, Data Quality Frameworks, CI/CD for Data Pipelines, Monitoring Observability, Cloud Data Platforms, Agile/Scrum

Educational Requirement

MTech,Bachelor of Engineering,BTech

Preferred Skills

Technology->Data Engineering->Palantir Foundry

Service Line

Data Analytics Unit