Senior Data Management Professional - Data Quality - Commodities

We are seeking a highly experienced, hands-on Data Quality and automation professional to help drive the reliability, control environment, and operational efficiency of commodities and energy data. This role will focus on designing and evolving data quality solutions, driving automation initiatives, and partnering closely with data operations, engineering, product, and business stakeholders to improve critical data pipelines and resolve complex data quality challenges.

What You Will Do

Design, implement, and continuously enhance data quality controls across commodities datasets, including market data, reference data, and fundamentals. Build, maintain, and optimize automated data quality checks for completeness, accuracy, timeliness, consistency, and other fit-for-purpose quality dimensions.

Why It Might Be a Fit

We are looking for a strong technical background who can combine hands-on implementation with broader technical leadership. You will be expected to take ownership of complex data quality problems from definition through implementation, help determine the right controls and technical approaches, and influence how the team builds scalable and sustainable solutions.

Requirements

• 3+ years experience in data management, data engineering, data quality, data operations, or a related technical discipline
• Strong hands-on Python development skills, with experience building production-quality automation, data processing, validation, or analytical solutions
• Strong practical experience with SQL or similar languages for data analysis, validation, and automation
• Significant experience designing and implementing data quality controls, monitoring, and exception-management processes in complex data environments
• Proven ability to independently investigate complex data issues, perform root-cause analysis, and design sustainable solutions rather than relying solely on manual remediation
• Experience working with modern data platforms, workflow tools, or data observability / quality tooling
• Demonstrated experience owning complex technical initiatives end-to-end and driving them through implementation
• Ability to translate business and data requirements into scalable technical solutions and fit-for-purpose data quality controls
• Experience providing technical guidance, mentoring others, and influencing technical decisions or engineering practices
• Strong organizational skills, with the ability to manage multiple priorities and drive work through to completion
• Effective communicator with the ability to work across technical and non-technical stakeholders

Benefits

• Benefits + Bonus
• Paid holidays
• Paid time off
• Medical
• Dental
• Vision
• Short and long term disability benefits
• 401(k) + match
• Life insurance
• Wellness programs