
Chief Data Engineering Officer
22 hours ago
Job Summary
We are seeking an experienced and visionary Data Engineering professional to lead our data initiatives.
About the Role:
The successful candidate will be responsible for designing, developing, and implementing scalable data solutions using Python, PySpark, and distributed computing frameworks.
Main Responsibilities:
- Architect complex data pipelines using Databricks and Azure Data Services.
- Lead the development of robust data models using star and snowflake schemas.
- Define and enforce data quality standards to ensure timely, accurate, and complete data.
- Collaborate with cross-functional teams to translate business needs into effective data solutions.
- Champion documentation, metadata management, and data governance practices.
- Integrate data from relational and NoSQL sources.
- Design and implement real-time data ingestion using Kafka, AWS SNS/SQS, and event-driven patterns.
- Mentor junior engineers and promote knowledge sharing within the team.
Requirements:
- Bachelor's Degree in Data Analytics, Data Science, Computer Science, or a related field – or equivalent work experience.
- 5 - 7 years of hands-on experience with Databricks.
Qualifications:
- Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related field or equivalent work experience.
- 5+ years of experience in data engineering, with a strong focus on Azure and Databricks.
- Expert-level proficiency in Python, PySpark, and distributed data processing.
- Deep understanding of data modeling, data warehousing, and ETL / ELT best practices.
- Advanced SQL skills, including CTEs, aggregations, and joins.
- Proven experience implementing data quality frameworks and scalable data architectures.
- Strong working knowledge of Power BI, Sigma Computing, and data visualization principles.
- Experience with Informatica Cloud tools and MDM strategies.
- Proficiency with relational databases and NoSQL technologies.
- Experience with real-time data streaming and event-driven architectures.
- Proficiency with GitHub and modern DevOps practices.
Preferred Attributes:
- Strategic thinker with a passion for data innovation and emerging technologies.
- Strong leadership and communication skills with the ability to influence across teams.
- Committed to mentorship, team development, and technical excellence.
- Enthusiastic about building a data-driven culture and enabling AI/ML capabilities.
- Comfortable working in a fast-paced, agile environment with shifting priorities.
Travel Expected: 5-10% of time.
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