Senior Data Engineer

A growing enterprise technology organization is seeking a Senior Data Engineer to help drive the evolution of its cloud-based data platform. This role combines technical leadership, stakeholder collaboration, and hands-on engineering to deliver scalable data solutions that support critical business operations, analytics, and decision-making. The ideal candidate will be comfortable working directly with business leaders and technical teams to identify data needs, prioritize initiatives, and develop high-quality data products that generate measurable business value.

What You’ll Do

Lead Data Product Strategy

• Partner with business and technical stakeholders to define data product vision, priorities, and success criteria.
• Manage and refine a roadmap of data initiatives, balancing competing priorities across multiple teams.
• Translate business objectives into actionable technical requirements, user stories, and delivery plans.
• Communicate project status, risks, dependencies, and recommendations to leadership and key stakeholders.
• Collaborate with data governance teams to support compliance, metadata management, and data quality initiatives.

Drive Business-Focused Data Solutions

• Develop a strong understanding of operational processes and data-driven business challenges.
• Identify opportunities to improve data accessibility, reporting capabilities, and decision support.
• Recommend scalable solutions that align with long-term technology and business objectives.
• Provide strategic input into future-state architecture and platform enhancements.

Build and Optimize Data Pipelines

• Design, develop, and maintain cloud-native data pipelines supporting both batch and real-time processing.
• Create scalable data integration solutions that ingest, transform, and deliver information from diverse sources.
• Develop and maintain logical and physical data models for analytics and operational use cases.
• Implement monitoring, validation, and performance optimization practices to ensure reliable data delivery.
• Support API integrations and connectivity with internal and external platforms.

Promote Engineering Excellence

• Participate in architectural reviews, Agile ceremonies, and technical design discussions.
• Contribute to best practices around automation, source control, CI/CD, and cloud engineering standards.
• Troubleshoot data pipeline issues and drive root-cause analysis for production incidents.
• Help mentor colleagues and promote knowledge sharing within the data engineering community.

Software Engineering, Technical Leadership, Establish Priorities, Business Operations, Cloud Computing, Data Quality, Needs Assessment, Business Support, Operational Audit, Operational Support, * Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline; equivalent professional experience will also be considered.

• 5+ years of experience designing and supporting cloud-based data solutions using platforms such as AWS, Azure, or Google Cloud.
• Strong hands-on development experience with Python and SQL.
• Experience developing ETL/ELT processes, orchestration workflows, and system integrations.
• Proven expertise in data modeling, metadata management, data lineage, and data quality frameworks.
• Demonstrated success partnering with business stakeholders to gather requirements, prioritize work, and deliver data-driven solutions.

Preferred Experience

• Background supporting organizations within commodity markets, utilities, energy operations, industrial environments, asset-intensive businesses, or related sectors.
• Exposure to enterprise data governance programs and modern cloud data architectures.
• Experience supporting analytics and reporting initiatives through scalable data platforms.