About the Role
The Lead Specialist, Engineering and ETL II plays a critical role in enabling trusted, reliable, and accessible data across the enterprise by building and optimizing scalable data pipelines that transform raw data into high-quality information assets. This position is integral to ensuring that data products are delivered with strong governance, operational resilience, and performance standards that support business intelligence, analytics, and decision-making. By embedding engineering excellence, data quality controls, and platform standards into data delivery processes, this role strengthens confidence in enterprise data, accelerates insight generation, and enables data-driven transformation initiatives. The position also provides technical leadership that enhances engineering consistency, operational reliability, and long-term platform sustainability.
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What You Will Deliver
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.
What Success Looks Like
- Enterprise data pipelines consistently deliver trusted, accurate, and timely data products.
- Data quality issues are identified proactively and resolved efficiently with clear ownership and accountability.
- Pipeline performance and operational costs are continuously optimized without compromising reliability.
- Data assets are discoverable, governed, and supported by accurate metadata and lineage.
- Production incidents are reduced through strong engineering practices, monitoring, and operational excellence.
- Engineering standards and reusable assets improve delivery speed, quality, and scalability across initiatives.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
Experience
- 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.
Skills That Matter
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
Benefits
- Career Growth
- Competitive Salaries
- Comprehensive Package
- Inclusive Work Environment
- Work-Life Balance
- Employee wellness
