
Chief Data Solutions Architect
1 week ago
The position of Senior Lead Data Engineer involves leading the design and implementation of scalable, high-performance data solutions that support multiple business functions across a global manufacturing organization.
As a technical leader and mentor, you will drive best practices in data engineering, architecture, and governance, and be deeply curious about the evolving data landscape.
- Design and implement complex data pipelines using Databricks and Azure Data Services.
- Develop scalable data solutions using Python, PySpark, and distributed computing frameworks.
- Define and enforce data quality standards, ensuring data is timely, accurate, and complete.
- Design and maintain enterprise-grade data models using star and snowflake schemas.
Required Skills and Qualifications:
- Bachelor's Degree in Data Analytics, Data Science, Computer Science, or a related field – or equivalent work experience.
- 5+ years of hands-on experience with 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.
Benefits:
This role offers opportunities for professional growth and development in a dynamic and collaborative environment. The ideal candidate will possess strong leadership and communication skills, with the ability to influence across teams.
Leadership Skills / 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.
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