Senior Data Engineer

Develop and maintain scalable data architecture, design data models, and build automated ETL/ELT pipelines to process large-scale data.

Requirements

• Develop and maintain a scalable, secure, and high-performance data architecture aligned with business needs.
• Select and optimize data platforms, tools, and technologies for efficiency and cost-effectiveness.
• Design and implement data models to support operational and analytical use cases.
• Build, optimize, and maintain automated ETL/ELT pipelines to process large-scale data.
• Troubleshoot, debug, and upgrade existing ETL solutions.
• Implement automation to reduce manual processes and increase workflow efficiency.
• Ensure data pipelines are robust, scalable, and support real-time and batch processing.
• Identify data discrepancies and develop data metrics.
• Stay up to date with the latest trends in data architecture, engineering, and analytics to identify and implement innovative solutions.
• Research and integrate cutting-edge tools and platforms to enhance data management capabilities and streamline processes.
• Encourage a team culture focused on continuous improvement, supporting experimentation with new technologies and methodologies.
• Develop and execute a technology roadmap to ensure the team is using the best tools available to meet both current and future data needs.
• Define and enforce data governance policies, ensuring compliance with GDPR, and other regulations.
• Monitor and optimize database performance, query execution, and storage efficiency.
• Manage data quality, metadata, and lineage to ensure reliability and transparency.
• Implement proactive monitoring and alerting for data infrastructure health.
• Monitor performance and quality control plans to identify improvements.
• Work closely with data scientists, business analysts, and BI teams to understand data requirements and design solutions that enable advanced analytics, reporting, and decision-making.
• Act as a bridge between business units and IT, ensuring that data architecture and engineering solutions meet both technical and business needs.
• Lead efforts to optimize data workflows and processes across departments, driving efficiency and alignment in data operations.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance