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