Senior Data Platform Engineer

Creating Peace of Mind by Pioneering Safety and Security Senior Data Platform Engineer

This position serves as the senior technical expert for Data Hub processes within the Global Data & Analytics Team, owning the design and implementation of data ingestion, transformation, and transmission workflows for the Operational Data Hub. The Senior Data Platform Engineer is the go-to authority for Data Hub architecture and processes, while actively contributing technical expertise to enterprise data structure design in partnership with the Data Architect.

This role mentors mid-level engineers, collaborates with Lead Engineers and cross-functional stakeholders, and balances deep technical expertise (80%) with informal leadership and mentorship (20%).

• Own and architect Data Hub processes and workflows, including data ingestion pipelines, transformation logic, transmission patterns, and integration orchestration.
• Design and implement sophisticated data pipeline architectures from various ERP and source systems, establishing patterns and best practices for the Data Hub.
• Partner with the Data Architect on enterprise data structure design, contributing Data Hub process expertise, feasibility assessments, and technical requirements.
• Define Data Hub technical standards and patterns for pipeline development, error handling, monitoring, and operational workflows.
• Collaborate with the Data Architect to ensure alignment between Data Hub processes and enterprise data models, providing input on how data structures impact processing efficiency.
• Lead technical design sessions for Data Hub initiatives, making architectural decisions on ingestion patterns, transformation approaches, and integration strategies.
• Contribute technical expertise to data structure discussions, advising on pipeline performance implications, transformation complexity, and operational considerations.
• Provide technical mentorship to mid-level Data Platform Engineers on Data Hub architecture, patterns, and implementation best practices.
• Drive complex problem-solving for Data Hub operational issues, including performance optimization, pipeline troubleshooting, and root cause analysis.
• Implement advanced transformation and enrichment frameworks that leverage enterprise data structures designed by the Data Architect.
• Own end-to-end architecture of Data Hub components, including serverless compute, orchestration, monitoring, and operational tooling.
• Evaluate and prototype emerging technologies for Data Hub capabilities, providing recommendations on tools and platforms for data processing.
• Establish data quality frameworks for Data Hub processes, implementing validation, testing, and monitoring strategies in collaboration with the Data Architect.
• Design and implement Data Hub governance controls, including security, compliance, and operational best practices for data processing workflows.
• Optimize Data Hub performance and cloud resource utilization, identifying opportunities for efficiency improvements and cost savings.
• Document Data Hub architectures and technical patterns comprehensively, creating runbooks, design guides, and knowledge base articles.
• Participate in on-call rotation for Data Hub production support, leading incident resolution and conducting technical post-mortems.

• 5-7 years of experience designing and implementing data hub solutions, operational data platforms, or similar data processing architectures.
• Expert-level experience owning data pipeline architectures, including event-driven patterns, real-time processing, and batch workflows.
• Advanced expertise architecting serverless solutions with Azure Function Apps or equivalent compute services for data processing at scale.
• Deep experience with data hub processes including ingestion patterns, transformation frameworks, orchestration, and operational monitoring.
• Advanced experience designing and optimizing Azure SQL Databases or similar platforms for operational data storage within hub architectures.
• Expert SQL skills with proven ability to optimize queries, design efficient processing logic, and contribute to data modeling discussions.
• Strong understanding of enterprise data architecture principles, with ability to contribute technical expertise to data structure and modeling decisions.
• Proven ability to collaborate with Data Architects, providing Data Hub process perspective on data structure designs and enterprise models.
• Demonstrated expertise in data integration patterns involving ERP systems, APIs, and enterprise application data flows.
• Experience with Azure Data Lake, Azure Synapse Analytics, or similar platforms, understanding how Data Hub processes interact with enterprise data layers.
• Proven track record of owning complex Data Hub architectures and delivering technical solutions independently.
• Strong mentorship capabilities with experience guiding engineers on Data Hub patterns, pipeline development, and operational best practices.
• Excellent problem-solving skills for Data Hub…