Data Quality Engineering Lead - Remote

Overview

We are seeking a highly skilled and detail-oriented Data Quality Engineering Lead to ensure the accuracy, consistency, and reliability of data in our Enterprise Datawarehousing engagements. The ideal candidate will lead the design and implementation of data quality frameworks, Data validation, enforce governance standards, and collaborate with cross-functional teams to deliver high-quality data solutions.

In Short

• Develop and implement data quality strategies and frameworks.
• Lead and mentor a team of data quality engineers and analysts.
• Design and execute data validation and testing processes.
• Collaborate with data engineers and business stakeholders.
• Investigate and troubleshoot data quality issues.
• Stay updated on industry trends and tools.
• Drive the adoption of innovative data quality solutions.
• Define metrics and KPIs to measure data quality.
• Foster a culture of accountability and continuous improvement.
• Communicate findings and recommendations to stakeholders.

Requirements

• Bachelor’s degree in Computer Science or related field (Master’s preferred).
• 10+ years of experience in data quality management.
• 3+ years in a leadership role.
• Proven experience in datawarehousing and ETL processes.
• Strong knowledge of SQL and database systems (e.g., GCP).
• Experience with Agile methodologies and project management tools.
• Excellent analytical and problem-solving skills.
• Strong leadership and team management abilities.
• Ability to manage multiple priorities effectively.

Benefits

• Opportunity to lead a skilled team.
• Work in a fast-paced environment.
• Engage with cross-functional teams.
• Drive innovative solutions in data quality management.
• Flexible work environment with remote options.