Sr. Data Platform Engineer

Scope of Position

Our Client is seeking a Senior Data Platform Engineer to serve as the technical authority for our Operational Data Hub within the Global Data & Analytics team. In this role, you will architect and lead the design, implementation, and optimization of enterprise-scale data ingestion, transformation, and integration solutions that power critical business operations.

Responsibilities

• Data Platform Architecture & Engineering
• Own the architecture, design, and evolution of the Operational Data Hub and its supporting processes.
• Design and implement scalable data ingestion, transformation, orchestration, and transmission frameworks.
• Establish technical standards, best practices, and reusable patterns for pipeline development, monitoring, error handling, and operational excellence.
• Arcitect and optimize event-driven, real-time, and batch data processing solutions.
• Lead technical design reviews and make key architectural decisions related to integrations, processing frameworks, and platform capabilities.
• Evaluate emerging technologies and recommend innovative solutions to enhance platform performance and scalability.
• Enterprise Data & Integration
• Partner closely with Data Architects to align platform capabilities with enterprise data models and business requirements.
• Provide technical expertise on data structures, processing efficiency, transformation complexity, and integration strategies.
• Design and implement robust integrations across ERP systems, APIs, and enterprise applications.
• Build advanced data transformation and enrichment capabilities that support enterprise analytics and operational workflows.
• Reliability, Governance & Optimization
• Establish data quality, validation, testing, and monitoring frameworks to ensure trusted and reliable data.
• Implement governance, security, compliance, and operational controls across data processing workflows.
• Drive platform performance tuning, scalability improvements, and cloud cost optimization initiatives.
• Lead production support efforts, including incident resolution, root cause analysis, and post-incident reviews.
• Develop comprehensive technical documentation, architecture guides, operational runbooks, and knowledge resources.
• Leadership & Mentorship
• Serve as the go-to technical expert for Data Hub architecture and engineering practices.
• Mentor and guide Data Platform Engineers on architecture, development standards, and operational best practices.
• Collaborate across engineering, architecture, and business teams to drive successful delivery of strategic initiatives.
• Influence technical direction through thought leadership, knowledge sharing, and continuous improvement.

Qualifications

• Required Experience
• 5+ years of experience designing and delivering enterprise data platforms, data hubs, or large-scale data processing solutions.
• Proven expertise building and owning modern data pipeline architectures, including real-time, event-driven, and batch processing patterns.
• Deep experience with cloud-native data solutions, preferably within the Microsoft Azure ecosystem.
• Advanced experience designing and optimizing Azure SQL Database or similar relational data platforms.
• Strong expertise in Azure Function Apps, serverless computing, or comparable cloud-based processing frameworks.
• Expert-level SQL skills with a demonstrated ability to optimize performance and support data modeling initiatives.
• Experience integrating data across ERP systems, APIs, and enterprise applications.
• Strong understanding of enterprise data architecture principles and modern data platform design.
• Experience implementing CI/CD pipelines, Infrastructure as Code (IaC), and automated deployment practices.
• Proven success troubleshooting complex production issues and improving platform reliability and performance.
• Experience implementing security, governance, compliance, and operational controls within enterprise data environments.
• Preferred Qualifications
• Experience with Azure Data Lake, Azure Synapse Analytics, or similar modern data platform technologies.
• Knowledge of DataOps, DevOps, observability, monitoring, and operational excellence practices.
• Experience optimizing cloud infrastructure and managing data platform costs at scale.
• Prior experience mentoring engineers and leading technical initiatives across cross-functional teams.

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.