Role Overview

The Principal Integration & Data Platform Engineer leads the design and evolution of the company’s enterprise integration and data platform.

This role operates at the intersection of enterprise applications, manufacturing systems, and analytics infrastructure. The position combines architecture, hands-on engineering, and technical leadership to ensure reliable data movement and system interoperability across the organization.

The Principal Engineer helps shape how information flows across the company — connecting ERP systems, SaaS platforms, manufacturing technologies, and analytics environments into a cohesive and reliable data ecosystem.

This role provides senior technical leadership and works closely with enterprise applications, manufacturing engineering, and analytics stakeholders to translate operational needs into scalable technical solutions.

While this role influences technical direction and mentors engineers, people management and formal performance oversight remain with the Director of Enterprise Applications.

Mission

Design and operate the integration and data platform that connects enterprise applications, manufacturing systems, SaaS platforms, and analytics infrastructure across the company.

This platform enables operational automation, reliable data movement, and analytics capabilities that support business operations and decision-making.

Key Responsibilities

Architecture & Technical Leadership

Provide technical leadership for the company’s enterprise integration and data architecture.

Provide technical leadership across integration and data platform initiatives
Define integration patterns and architectural approaches for cross-system data flows
Translate business and operational requirements into scalable technical designs
Establish development standards and integration best practices
Participate in platform and architecture decisions alongside IT leadership
Mentor and guide engineers through design reviews, code reviews, and complex troubleshooting

Enterprise System Integration

Design and maintain integrations connecting core enterprise systems, including:

Dynamics 365 Finance & Operations
Tulip Manufacturing Software
eMaint CMMS
EDI trading partners
Various SaaS platforms and operational systems

Integration solutions may involve APIs, event-driven messaging, data pipelines, and orchestration workflows.

Data Platform & Analytics Infrastructure

Lead development and evolution of the company’s analytics data platform.

Responsibilities include:

Development of data pipelines supporting enterprise reporting
Architecture and implementation of Microsoft Fabric-based analytics pipelines
Integration with an existing SQL Server data warehouse and SSAS OLAP models
Supporting Power BI semantic models and reporting infrastructure
Improving reliability and maintainability of enterprise data pipelines

Manufacturing Data Integration

Collaborate with manufacturing engineering teams to integrate operational data from production equipment and manufacturing systems.

Examples include telemetry and operational data flowing from PLC environments through systems such as Kepware, Azure IoT Hub, Event Hub, Stream Analytics, and Fabric.

Engineering teams manage the PLC layer; this role focuses on ingestion, orchestration, and integration with enterprise systems and analytics platforms.

Hands-On Engineering

This role is expected to remain highly hands-on and engaged in day-to-day engineering work, serving as a senior individual contributor.

Typical work may include:

Building integration services and orchestration workflows
Developing event-driven integrations and messaging pipelines
Implementing data ingestion and transformation pipelines
Troubleshooting complex cross-system issues
Supporting enterprise automation and operational data infrastructure

Primary technologies currently include:

C# / .NET
SQL Server
Azure Function Apps
Logic Apps
Azure Service Bus and messaging services
Microsoft Fabric and Power BI

While familiarity with these technologies is helpful, success in this role depends more on strong systems thinking and the ability to learn new technologies than prior experience with any specific tool in our stack.

Operational Reliability

Ensure enterprise integrations and data pipelines operate reliably.

Diagnose and resolve cross-system issues and pipeline failures
Improve monitoring, observability, and troubleshooting capabilities
Maintain documentation and operational knowledge of integration systems
May require rare after-hours support for critical issues (no formal on-call rotation)

Required Qualifications

8+ years of software engineering experience
Experience designing or implementing enterprise integrations or distributed systems
Experience working with data pipelines, analytics platforms, or integration architectures
Strong programming and debugging skills in modern development environments
Experience working with cloud-based systems and APIs
Demonstrated ability to learn new technologies and adapt to evolving platforms
Experience mentoring or providing technical leadership to other engineers

Preferred Experience

Microsoft Azure services
Dynamics 365 Finance & Operations integration
Microsoft Fabric or modern analytics platforms
Power BI data models and reporting infrastructure
Event-driven architectures or messaging systems
Industrial or manufacturing systems integration
IoT or streaming data pipelines
Modernizing legacy applications

Work Environment

Hybrid work environment available
Collaboration with teams across IT, manufacturing engineering, and business operations
Most work occurs during standard business hours with occasional after-hours support for critical production issues

Pay: $125,000.00 - $140,000.00 per year

Benefits:

401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Parental leave
Vision insurance

Application Question(s):

Which of the following have you worked with professionally?

C# / .NET, SQL Server, Azure Function Apps, Logic Apps, Microsoft Fabric, Power BI, Dynamics 365 F&O, Azure Service Bus/Event Hub, Azure IoT Hub, Stream Analytics, Python, PySpark / Spark SQL

How have you provided technical leadership or mentorship to other engineers?
Describe a complex integration you designed or built between two or more enterprise systems, ideally involving cloud applications and services.
Describe a data lake, data pipeline, or analytics platform you helped design. What were the key architectural decisions you had to make, and what tradeoffs did you navigate?

Experience:

Software development: 5 years (Required)

Work Location: Hybrid remote in Torrance, CA 90503

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Principal Integration & Data Platform Engineer

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