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24 hours ago
Our organization is seeking a highly experienced Senior Data Engineering Director to lead the development and implementation of scalable data quality validation systems across multiple sources. This role requires strong leadership skills, technical expertise, and business acumen to drive the delivery of high-quality data solutions.
- Data Quality Leadership:
- Design and implement data quality validation systems that ensure data accuracy, completeness, and consistency across all sources.
- Develop and deploy AI-driven tools to automate issue detection, enhance data lineage tracking, and generate intelligent alerts on unexpected changes.
Key Requirements:
- 10+ years of experience in data engineering, data quality, or analytics engineering roles.
- Expertise in Python, Alteryx, SQL, and cloud data platforms like Snowflake.
- Strong leadership and interpersonal skills to work with executive stakeholders and distributed teams.
This role demands collaboration with cross-functional teams, including business analysts, data scientists, and engineering teams. The ideal candidate will have a deep understanding of data pipelines, data validation, and AI-enhanced quality frameworks.
The selected individual will be responsible for designing and implementing data quality validation systems, developing AI-driven tools, and building and deploying AI models to automate issue detection and enhance data lineage tracking.
As a Senior Data Engineering Director, you will be instrumental in driving the organization's data strategy, ensuring data accuracy, and delivering high-quality data solutions that meet business needs.
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