Lead Data Engineer - Manufacturing Data & Palantir Foundry Specialist

Lead Data Engineer #3066

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/
 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
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.

Experience Level

Senior Level