Data Engineer

• Build and scale the data engineering organization from inception to a fully operational, high-performing team
• Define and execute the data strategy aligned with business objectives and long-term growth
• Establish the technical vision and roadmap for data infrastructure, tools, and platforms
• Partner with executive leadership to identify data opportunities that drive business value
• Build strong relationships with stakeholders across Engineering, Product, Analytics, Data Science, and Business teams
• Design and implement a scalable, reliable data lake architecture from scratch
• Build robust ETL/ELT pipelines for data ingestion, transformation, and distribution
• Establish data orchestration frameworks for workflow management and scheduling
• Architect solutions for real-time and batch data processing at scale
• Ensure high availability, performance, and cost optimization of data systems
• Implement comprehensive data governance frameworks and policies
• Establish data quality standards, monitoring, and validation processes
• Design and enforce data security, privacy, and compliance measures (GDPR, CCPA, etc.)
• Create data cataloging and metadata management solutions
• Build data lineage and audit trail capabilities
• Evaluate, select, and implement modern data platforms (Snowflake, Databricks, Google BigQuery)
• Build self-service data capabilities for analytics and data science teams
• Establish CI/CD practices for data pipelines and infrastructure as code
• Implement monitoring, alerting, and observability for data systems
• Drive adoption of best-in-class data tools and technologies
• Recruit, mentor, and develop a high-performing data engineering team
• Foster a culture of technical excellence, collaboration, and continuous improvement
• Establish career development frameworks and growth paths for team members
• Promote best practices in software engineering within the data context
• Build strong cross-functional relationships and promote data literacy
• Partner with analytics teams to deliver reliable, accessible data products
• Enable data science initiatives through robust feature engineering and ML infrastructure
• Build data models and transformations that support business intelligence needs
• Ensure data democratization while maintaining governance and security

Head of Data Engineering

AI & Data Architect – Energy & Utilities

Data Engineer

Senior Data Engineer

Data Engineer