Lead Data Engineer #3194
CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth.
You can learn more about us at: http://www.cesltd.com/
Job Description
Palantir Foundry Technical Lead – Manufacturing Data Platforms
Role Overview
We are seeking a Palantir Foundry Technical Lead with strong hands-on experience to support a manufacturing data engineering program. This role combines deep Foundry expertise with manufacturing domain understanding, enabling the design and delivery of scalable, performant, and cost-optimized data pipelines.
The role is intentionally structured as a high-impact lead engagement, focusing on critical architecture and complex use cases, while enabling the broader engineering team to deliver independently.
Key Responsibilities
1. Hands-On Foundry Implementation (Manufacturing Use Cases preferably)
Design and implement Foundry pipelines for manufacturing data such as:
Plant, line, and asset data
Production volumes and throughput
Quality and defect metrics
Downtime, OEE, and performance KPIs
Develop incremental and near-real-time data pipelines where required
Implement ontology models representing:
Plants, assets, work centers, products, batches, and orders
Handle large-scale historical and time-series datasets efficiently
2. Architecture & Platform Best Practices
Define reference architecture for manufacturing data in Palantir Foundry
Establish best practices for:
Pipeline design and orchestration
Code repository usage
Compute optimization and cost control
Ensure scalable, maintainable designs that support multi-plant rollouts
3. Manufacturing Data Enablement
Translate manufacturing processes into analytical data models
Enable use cases such as:
Production performance monitoring
Root cause analysis for quality issues
Plant-to-plant performance comparison
Support analytics, reporting, and downstream consumption use cases
4.Technical Leadership & Team Enablement
Act as the primary Foundry technical authority
Review pipelines, ontology models, and performance-critical workflows
Mentor data engineers on Foundry and manufacturing data patterns
Enable rapid onboarding of engineers into the Foundry ecosystem
5. Governance, Security & Reliability
Implement data lineage, versioning, and governance in Foundry
Ensure role-based access aligned with manufacturing and plant-level controls
Support data quality, validation, and auditability requirements
Required Skills & Experience
Must Have
Strong hands-on experience with Palantir Foundry
Expertise in:
Transforms (Code & SQL)
Ontology modeling
Code repositories and pipeline orchestration
Data lineage and governance
Solid data engineering experience (Python, SQL)
Experience working with manufacturing datasets
Ability to operate as both hands-on engineer and technical lead
Good to Have
Experience with manufacturing systems such as MES, ERP, or plant historians
Exposure to time-series or event-based manufacturing data
Prior experience supporting OEE, quality, or asset performance use cases
Experience in advisory or fractional leadership roles
Palantir Foundry Technical Lead – Manufacturing Data Platforms
Role Overview
We are seeking a Palantir Foundry Technical Lead with strong hands-on experience to support a manufacturing data engineering program. This role combines deep Foundry expertise with manufacturing domain understanding, enabling the design and delivery of scalable, performant, and cost-optimized data pipelines.
The role is intentionally structured as a high-impact lead engagement, focusing on critical architecture and complex use cases, while enabling the broader engineering team to deliver independently.
Key Responsibilities
1. Hands-On Foundry Implementation (Manufacturing Use Cases preferably)
Design and implement Foundry pipelines for manufacturing data such as:
Plant, line, and asset data
Production volumes and throughput
Quality and defect metrics
Downtime, OEE, and performance KPIs
Develop incremental and near-real-time data pipelines where required
Implement ontology models representing:
Plants, assets, work centers, products, batches, and orders
Handle large-scale historical and time-series datasets efficiently
2. Architecture & Platform Best Practices
Define reference architecture for manufacturing data in Palantir Foundry
Establish best practices for:
Pipeline design and orchestration
Code repository usage
Compute optimization and cost control
Ensure scalable, maintainable designs that support multi-plant rollouts
3. Manufacturing Data Enablement
Translate manufacturing processes into analytical data models
Enable use cases such as:
Production performance monitoring
Root cause analysis for quality issues
Plant-to-plant performance comparison
Support analytics, reporting, and downstream consumption use cases
4.Technical Leadership & Team Enablement
Act as the primary Foundry technical authority
Review pipelines, ontology models, and performance-critical workflows
Mentor data engineers on Foundry and manufacturing data patterns
Enable rapid onboarding of engineers into the Foundry ecosystem
5. Governance, Security & Reliability
Implement data lineage, versioning, and governance in Foundry
Ensure role-based access aligned with manufacturing and plant-level controls
Support data quality, validation, and auditability requirements
Required Skills & Experience
Must Have
Strong hands-on experience with Palantir Foundry
Expertise in:
Transforms (Code & SQL)
Ontology modeling
Code repositories and pipeline orchestration
Data lineage and governance
Solid data engineering experience (Python, SQL)
Experience working with manufacturing datasets
Ability to operate as both hands-on engineer and technical lead
Good to Have
Experience with manufacturing systems such as MES, ERP, or plant historians
Exposure to time-series or event-based manufacturing data
Prior experience supporting OEE, quality, or asset performance use cases
Experience in advisory or fractional leadership roles
Why CES :
Flexible working hours to create a work-life balance.
Opportunity to work on advanced tools and technologies.
Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships.
Highly encouraged for any innovative ideas & thoughts and we support in executing the same.
Periodical and on-spot rewards and recognitions on your performance.
Provides a better platform for enhancing skills via many different L&D programs.
Enabling and empowering atmosphere to work along.
Flexible working hours to create a work-life balance.
Opportunity to work on advanced tools and technologies.
Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships.
Highly encouraged for any innovative ideas & thoughts and we support in executing the same.
Periodical and on-spot rewards and recognitions on your performance.
Provides a better platform for enhancing skills via many different L&D programs.
Enabling and empowering atmosphere to work along.