Senior Data Engineer, Data Governance Lead

📋 Description

• Lead technical architecture, design, and development of enterprise data quality, discovery, and
• Establish and enforce enterprise-wide data governance standards, policies, tooling, and processes
• Lead design and implementation of custom integrations within data discovery frameworks like Datahub
• Develop AI/ML-based solutions for data quality, anomaly detection, and automated data discovery.
• Extend and customize open-source data quality frameworks and tools like Deequ and Great
• Design and implement robust batch and real-time data pipelines using Apache Spark to support

🎯 Requirements

• Master's degree or foreign equivalent in Data Science, Computer Science, or related field.
• 6 years of experience in the position or a related occupation.
• Will also accept a Bachelor's degree or foreign equivalent in Data Science, Computer Science, or
• Must have at least 1 year of prior work experience in the following: Technical lead, driving
• Design and implementation of enterprise-grade data quality, discovery, and governance frameworks
• Developing Artificial Intelligence (AI) and Machine Learning (ML) solutions to solve data quality

🎁 Benefits

• Global access to mental health and financial wellness support and resources.
• Local benefits include statutory and voluntary benefits which may include healthcare (medical
• Employees are supported in taking time off, in accordance with local leave policies and other