Lead Specialist, Engineering and Extract, Transform, Load Enterprise

Why This Role Matters

Data Engineering & Pipeline Delivery

• Deliver scalable ETL/ELT pipelines that provide reliable, governed, and high-quality data for analytics and reporting.
• Enable efficient ingestion, transformation, and delivery of data products aligned with approved data models and architecture standards.
• Maintain engineering practices that ensure consistency, reusability, and long-term maintainability of data solutions.

Data Quality & Governance

• Strengthen trust in enterprise data through robust validation, reconciliation, testing, and quality control mechanisms.
• Ensure metadata, lineage, and discoverability requirements are embedded across all data assets and pipelines.
• Enable governed access to curated datasets that support enterprise-wide data consumption.

Platform Performance & Reliability

• Optimize pipeline efficiency, scalability, and operational performance through continuous tuning and workload optimization.
• Improve production stability through monitoring, alerting, incident management, and proactive risk mitigation.
• Reduce operational disruptions by enhancing reliability, restartability, and recovery capabilities.

Technical Leadership & Engineering Standards

• Provide technical guidance that enhances engineering quality, consistency, and delivery excellence.
• Develop reusable components, standards, and engineering playbooks that improve productivity and reduce complexity.
• Influence technical decisions that strengthen enterprise data engineering capabilities.

Collaboration & Delivery Excellence

• Partner with data modelers, governance teams, platform specialists, and business stakeholders to deliver integrated data solutions.
• Ensure engineering outputs align with enterprise data definitions, governance requirements, and business needs.
• Drive continuous improvement initiatives that enhance cost efficiency, operability, and solution effectiveness.

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
• 7-10 years of relevant experience in data engineering, ETL/ELT development, and modern data platforms.
• Experience delivering enterprise-scale production data pipelines with strong reliability and quality controls.
• Experience implementing data quality, governance, and operational monitoring practices.
• Experience providing technical leadership and collaborating across engineering, governance, and business teams.

Functional Expertise

• ETL/ELT Engineering
• Data Pipeline Development & Optimization
• Data Transformation & Processing
• Data Quality Management
• Metadata & Data Lineage Management
• Cloud Data Platform Technologies

Business & Delivery

• Performance Optimization
• Data Governance & Compliance
• Operational Monitoring & Support
• Incident & Problem Management
• Testing & Automation
• Continuous Improvement

People & Collaboration

• Technical Leadership
• Stakeholder Management
• Cross-Functional Collaboration
• Vendor Coordination
• Communication & Documentation
• Ownership & Accountability