Lead Business Operations Data Engineer

• Partner with the Platform technical team and Offering Management on resource demand planning and capacity analytics, including platform systems usage, census forecasting, and materials and services needs
• Analyze and report on machine uptime, throughput rates, job success/failure rates, and customer commitment fulfillment
• Build and maintain time reporting and census analytics, auditing data for completeness and accuracy
• Own platform usage reporting, including SOX-compliant financial reporting, active user and project counts, system reliability indicators, and feature adoption metrics
• Design, develop, and maintain scalable ETL/ELT pipelines from operational systems and enterprise tools
• Implement monitoring, observability, and alerting for data pipelines and platform health
• Architect and implement robust data models and data integration solutions
• Transform raw data into analytics-ready tables and semantic layers using dbt or similar frameworks
• Maintain and evolve data warehouses and reporting layers
• Ensure data accuracy, lineage, documentation, and auditability
• Partner with engineering and platform teams on data architecture, governance, access patterns, integrations, and engineering practices
• Deliver self-service analytics dashboards and datasets
• Communicate insights through narratives, visuals, and recommendations for technical and non-technical audiences
• Own the data analytics strategy and roadmap for resource forecasting and platform usage
• Provide authoritative reporting and BI dashboards for leadership investment decisions

• Bachelor’s degree minimum
• Minimum 8+ years of experience in data engineering, analytics engineering, business intelligence, or operational analytics
• Experience owning data pipelines, data models, and executive-facing reporting in a business-critical environment
• Must be a U.S. Person: U.S. citizen, permanent resident or green card holder, or worker granted asylum or refugee status
• Must not be a People’s Republic of China national or Russian national unless also a U.S. citizen
• Advanced SQL proficiency, including complex joins, window functions, analytical modeling, query optimization, and performance tuning
• Experience designing, building, and maintaining production-grade ETL/ELT pipelines and analytical models
• Experience with Python or another scripting language
• Experience with cloud data warehouses, data platforms, or Lakehouse environments
• Experience with analytics engineering, dimensional modeling, semantic layers, reusable metrics, and self-service analytics
• Experience with Git-based workflows, code review, documentation, and repeatable deployment practices
• Experience with data quality testing, validation, monitoring, lineage, and auditability
• Experience building leadership dashboards and reports
• Strong communication skills and cross-functional collaboration
• Ability to define and influence technical standards for data systems
• Experience delivering varied analytics
• Familiarity with Power BI, Tableau, Grafana, or equivalent
• Experience with dbt or similar analytics engineering frameworks
• Experience with Airflow, Dagster, Prefect, Azure Data Factory, or equivalent
• Experience supporting SOX, financial, compliance, or audit-sensitive reporting
• Experience analyzing system reliability, usage, or operational performance metrics
• Ability to identify insights and recommend improvements
• Experience optimizing data platforms for performance, cost, reliability, scalability, and observability
• Safety-sensitive placement requires a pre-employment drug test

Demonstrates expertise in data engineering and analytics, with a strong focus on building and maintaining ETL/ELT pipelines, data models, and executive-facing reporting. Proficient in advanced SQL, cloud data platforms, and delivering self-service analytics solutions for informed decision-making.

• Advanced SQL Proficiency
• ETL/ELT Pipeline Development
• Data Modeling and Analytics Engineering
• Cloud Data Warehouse Experience
• Strong Communication Skills

• Data Engineering
• Analytics Engineering
• Business Intelligence
• ETL/ELT Pipeline Development
• SQL
• Python
• Data Quality Testing
• Dimensional Modeling
• Analytics Dashboard Creation
• Data Integration Solutions

• Cross-Functional Collaboration
• Communication Skills
• Influencing Technical Standards
• Identifying Insights
• Recommending Improvements

• SOX Compliance
• Operational Analytics
• Data Governance
• Data Lineage
• Auditability
• Performance Tuning
• System Reliability Metrics
• Resource Demand Planning

• Power BI
• Tableau
• Grafana
• Dbt
• Airflow
• Dagster
• Prefect
• Azure Data Factory