Lead Software Engineer- Data Engineer

Job Summary

Software Engineering Lead - Data Platform

We are seeking a highly skilled Software Engineering Lead - Data Platform to lead the development of Caterpillar's next-generation Digital Manufacturing Data Platform. This platform enables large-scale data ingestion, transformation, and analytics across manufacturing, supply chain, and engineering ecosystems.

The ideal candidate will bring deep expertise in data engineering, large-scale data ingestion, AWS-based architectures, and Snowflake, along with strong leadership and software engineering discipline.

Key Responsibilities

Leadership Delivery

• Lead and mentor a team of data engineers and platform developers
• Drive Agile execution and ensure predictable, high-quality delivery
• Establish engineering best practices, code quality, and CI/CD standards

Data Platform Architecture

• Architect scalable and secure data platforms on AWS
• Design robust data ingestion frameworks for batch and near real-time pipelines
• Define best practices in data modeling, governance, and metadata management

Data Engineering Ingestion

• Lead design and development of scalable ingestion pipelines (structured and unstructured data)
• Build and optimize Snowflake-based data platforms for performance and cost
• Enable ingestion of diverse sources (databases, APIs, files, streaming data)

Cloud Platform Engineering

• Leverage AWS services (S3, Glue, Lambda, EMR, Redshift, etc.) for end-to-end pipelines
• Implement CI/CD pipelines using Azure DevOps / Jenkins
• Ensure system scalability, resiliency, and operational readiness

Software Engineering Excellence

• Enforce software engineering principles (modular design, code quality, testing, version control)
• Drive automation and continuous improvement
• Promote reusable frameworks for ingestion and transformation

Stakeholder Collaboration

• Partner with product managers, SMEs, and business stakeholders
• Translate business needs into scalable data solutions

Must-Have Skills

• 10+ years of experience in Data Engineering / Data Platform roles
• Strong experience in AWS data ecosystem (S3, Glue, Lambda, EMR, Redshift)
• Deep expertise in Snowflake (architecture, optimization, data modeling)
• Strong programming skills in Python and SQL
• Extensive experience with data ingestion pipelines and ETL/ELT frameworks
• Exposure to real-time streaming (Kafka, Spark Streaming)
• Experience with CI/CD tools (GitHub, Jenkins, AWS CloudFormation etc.)
• Solid understanding of distributed systems and scalable architectures
• Strong foundation in software engineering principles (Git, testing, design patterns)
• Experienced in working with Agile teams
• Collaborate with Data Science and AI teams to operationalize ML models and analytics workflows.
• Promote integration of AI capabilities into data engineering pipelines (e.g., GenAI, MCP, ATA).
• Support real-time analytics and edge AI use cases in manufacturing environments.
• Use AI extensively in building and testing Data Ingestion and Data pipeline

Nice-to-Have Skills

• Experience with Graph Databases (Neo4j, Neptune)
• Experience with Vector Databases (Milvus, OpenSearch)
• Knowledge of NVIDIA ecosystem and RAPIDS (cuDF, cuML, cuGraph)
• Experience integrating AI/ML pipelines or GenAI workflows

Qualifications

• Bachelor's or Master's degree in Computer Science / Engineering
• Proven track record in leading engineering teams and delivering at scale
• Strong leadership, communication, and stakeholder management skills

This position requires working onsite five days a week.

Relocation is available for this position.

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