Golden Technology ยท 5 hours ago
Azure Data Architect
Maximize your interview chances
Insider Connection @Golden Technology
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Lead and participate in design discussions to provide deep insights and guide design decisions.
Engage with stakeholders to understand requirements and define canonical data models.
Spearhead system design and data engineering projects, ensuring optimal solutions are applied.
Stay current with the latest trends and technologies in data engineering and Databricks.
Conduct comprehensive code reviews to ensure quality and best practices.
Implement and promote code reusability across projects.
Utilize Unity Catalog for data governance and compliance.
Create and maintain thorough documentation for all aspects of data engineering solutions.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
8+ years of experience in data engineering or related fields.
Strong expertise in the warehousing domain and supply chain concepts.
Deep understanding of system design principles and data architecture.
Proven experience with Databricks, data governance, and data engineering best practices.
Excellent coding skills and experience in conducting detailed code reviews.
Strong documentation skills to maintain clear and comprehensive project records.
Ability to work independently and lead initiatives as an individual contributor.
Strong communication skills for effective stakeholder collaboration.
Proficiency in Python, PySpark, and SQL.
Experience with data modeling tools and frameworks.
Strong understanding of data engineering concepts and hands-on experience with Databricks.
Familiarity with system design concepts relevant to data architecture.
Knowledge of data governance practices, including the use of Unity Catalog.