Fairlead Lead Data Engineer

What We Are Looking For

We are seeking a Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) data integration ETL processes and data governance. This role will support a large-scale manufacturing modernization initiative by leading the migration and deployment of data connectors building scalable GCP-native data pipelines and ensuring data engineering activities align with enterprise architecture and governance standards. The ideal candidate combines hands-on technical expertise with strong cross-functional collaboration skills in complex regulated environments.

Responsibilities
Lead the migration of prebuilt data connectors from legacy customer systems into the platforms data integration engine
Design develop and maintain GCP-native data pipelines using services such as Dataflow Cloud Functions and Cloud Run
Ensure successful integration of new data sources into the platform while maintaining performance scalability and reliability
Take ownership of custom connector deployment and handover activities following the transition from development teams
Maintain continuity of in-flight connector implementations and support seamless knowledge transfer processes
Coordinate with the Data Architect to ensure data pipelines and connectors align with the overall data lakehouse architecture
Collaborate with the Data Governance Specialist to ensure compliance with data classification and governance requirements
Monitor and optimize data ingestion transformation and integration processes
Support the onboarding of new data sources and ensure data quality throughout the integration lifecycle
Document designs deployment procedures and technical configurations to support long-term platform sustainability
Contribute to data analysis and modeling initiatives that support business and operational objectives

Requirements and Qualifications
Experience with Google Cloud Platform (GCP) data services and cloud-native architectures
Strong knowledge of data integration and ETL processes
Experience building and managing data pipelines using Dataflow Cloud Functions Cloud Run or similar technologies
Experience migrating data connectors and integrating data from multiple enterprise systems
Knowledge of data lakehouse architectures and modern data platforms
Experience with data analysis and data modeling practices
Understanding of database technologies and data management principles
Experience working with large-scale datasets and distributed data processing solutions
Knowledge of data governance data quality and data classification requirements
Experience collaborating with architecture engineering and governance teams
Strong understanding of cloud-based data engineering best practices

Nice to Have
Experience supporting manufacturing industrial or operational technology environments
Experience working within regulated environments handling sensitive information
Knowledge of analytics platforms such as Looker
Experience with data migration and modernization programs
Familiarity with AI-enabled platforms and data architectures supporting AI solutions
Experience supporting multi-workstream and distributed delivery models
Knowledge of advanced GCP Big Data and Database services

Soft Skills
Communication
Problem Solving
Analytical Thinking
Collaboration
Stakeholder Management
Relationship Building
Strategic Thinking
Adaptability
Proactivity;
Decision Making
Self-Management
Attention to Detail
Teamwork
Conflict Resolution

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