
Leading Senior Data Architect
2 weeks ago
Job Title:
A senior lead data engineer is required to design and implement scalable, high-performance data solutions that support various business functions.
Key Responsibilities:
- Lead the development of complex data pipelines using Databricks and Azure Data Services.
- Architect and optimize distributed computing frameworks for big data analytics.
- Define and enforce data quality standards, ensuring timely, accurate, and complete data delivery.
- Collaborate with cross-functional teams to translate business needs into robust data solutions.
- Design and maintain enterprise-grade data models using star and snowflake schemas.
- Champion documentation, metadata management, and data governance practices.
Requirements:
- Bachelor's Degree in Data Analytics, Computer Science, or a related field – or equivalent work experience.
- 5 - 7 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.
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.
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