
Chief Data Engineering Officer
2 weeks ago
Our team is seeking an experienced data engineering professional to lead the development of high-quality data ingestion and validation processes. This role will focus on building robust data pipelines, implementing AI-driven quality frameworks, and creating scalable reporting solutions.
- Key Responsibilities:
- Manage and develop high-quality data engineering teams with expertise in Python, Alteryx, and SQL.
- Oversee the design and implementation of scalable data quality validation systems across multiple sources.
- Lead the development of AI-driven tools that identify anomalies and provide early insight into data discrepancies.
- Implement pre-processing checks for incoming files to detect issues before ETL pipelines are executed.
- Collaborate with business analysts to incorporate predictive insights and pattern recognition from historical data anomalies.
- Partner with stakeholders to proactively identify and address reporting gaps or escalations.
- Ensure auditability and traceability of decisions derived from enriched or corrected data.
- Work closely with cross-functional teams to align system architecture with business needs.
- Optimize headcount through AI augmentation, enabling skilled team members to focus on higher-value initiatives.
Requirements:
- 6–10 years of experience in data engineering, data quality, or analytics engineering roles.
- Proficient in Python, Alteryx, SQL, and cloud data platforms like Snowflake.
- Deep understanding of data pipelines, ETL/ELT processes, and data validation best practices.
- Experience with AI/ML in data quality (anomaly detection, NLP-driven validation, etc.).
- Familiarity with enterprise systems.
- Strong interpersonal and communication skills to work with executive stakeholders and distributed teams.
Benefits:
- Opportunities for growth and career advancement in a dynamic industry.
- Collaborative and innovative work environment.
- Comprehensive benefits package including health insurance, retirement savings plan, and paid time off.
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