AI Data Engineer 3 [AQ-22137]

Join a leading global technology company that stands at the forefront of innovation, continuously shaping the future of digital experiences and critical infrastructure. This organization is passionately dedicated to creating groundbreaking solutions that empower individuals and businesses worldwide, driven by a mission to make advanced technology accessible and impactful. As an Aquent talent, you will partner with this visionary organization, contributing to a high-performing team that champions data-driven decisions and operational excellence, thereby driving significant advancements across the industry. This is an unparalleled opportunity to make a tangible difference, ensuring the reliability and integrity of vital data, significantly enhancing business intelligence, and directly influencing strategic decision-making across essential systems.

Are you a visionary data professional ready to transform complex information into powerful, actionable insights that will define the future of digital experiences and infrastructure? We are seeking a highly skilled and motivated individual to join a dynamic team where your expertise will bridge the critical gap between raw technical data and strategic business outcomes. This pivotal role offers an unparalleled opportunity to make a tangible difference, ensuring the reliability and integrity of vital data, significantly enhancing business intelligence, and directly influencing strategic decision-making across essential systems. You will play a crucial role in dramatically improving efficiency and performance, directly impacting how this innovative organization operates and pioneers new solutions.

What You’ll Do

• Collaborate extensively with engineering, operations, program management, and leadership to meticulously define data requirements and architect robust reporting and analytics solutions that empower strategic decisions.
• Analyze extensive and intricate datasets with precision to uncover critical trends, identify anomalies, pinpoint operational gaps, proactively assess risks, and discover transformative opportunities for operational enhancement.
• Conduct thorough data quality assessments, validation, and verification to ensure unparalleled accuracy, completeness, consistency, and integrity across diverse data sources and complex systems.
• Design, implement, automate, and rigorously maintain scalable data collection, transformation, and validation processes, significantly reducing manual effort and boosting system reliability.
• Develop and maintain comprehensive dashboards, insightful scorecards, precise KPI reporting, and intuitive self-service analytics solutions that provide clear, real-time visibility into operational performance, system health, and critical business outcomes.
• Establish robust data validation frameworks, proactive monitoring processes, and stringent quality controls to detect and resolve data issues before they impact operations.
• Partner strategically with technical teams to refine data models, improve metadata management, optimize reporting structures, and strengthen overall data governance practices, ensuring data trustworthiness.
• Translate complex technical findings into clear, concise, and actionable insights and recommendations, effectively communicating critical information to both highly technical and executive audiences.
• Drive continuous improvement initiatives through automation, standardization, and the strategic implementation of scalable reporting and analytics solutions that enhance efficiency and insight.
• Support in-depth root cause analysis and investigative efforts by expertly utilizing data to identify the underlying causes of performance issues and operational risks.
• Document processes, methodologies, reporting requirements, and data quality standards comprehensively to ensure consistency, scalability, and knowledge transfer across the organization.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• Proven experience designing and implementing sophisticated data quality validation, verification, and monitoring processes.
• Demonstrated strong troubleshooting, advanced problem-solving, sharp analytical thinking, and investigative skills.
• Extensive experience in business intelligence, reporting, data quality management, or related analytical disciplines.
• Proficiency in developing dynamic dashboards and compelling v…