Lead Data Engineer #3194

Company: cesltd
Location: Chennai, India
Type:
Posted: Aug 19, 2026
Views: 2

✨ AI Summary

CES, a global software product development and digital transformation company serving Fortune 500 clients across manufacturing and other industries, is hiring a Lead Data Engineer in Chennai, India. This hands-on technical lead role focuses on Palantir Foundry implementation for manufacturing data platforms, requiring deep expertise in Foundry transforms, ontology modeling, pipeline orchestration, and data governance, along with solid Python and SQL skills. Experience with manufacturing datasets is a must, and familiarity with MES, ERP, or plant historians is a plus. The role offers flexible working hours, global client exposure, and opportunities for learning and innovation.

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

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.
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