What are the responsibilities and job description for the Cloud-Native Data Engineering Specialist position at Jobleads-US?
Job Description: Jobleads-US is seeking a highly skilled Azure Databricks Architect to lead the design and implementation of our enterprise-wide data platform.
About Our Company: As a leading company in the industry, we are dedicated to providing innovative solutions that meet the evolving needs of our clients.
Key Responsibilities:
- Design and architect comprehensive data solutions using Azure Databricks, Azure Data Lake, Azure Event Hub, and related Azure data services.
- Develop and implement data lakehouse architecture patterns supporting both batch and real-time data processing.
- Create robust data ingestion pipelines leveraging Azure Databricks, Azure Data Factory, and other ETL technologies.
- Establish best practices for data governance, security, and compliance across the data platform.
- Provide architectural guidance and mentorship to data engineering and analytics teams.
Requirements:
- Minimum of 5 years related work experience beyond degree requirements.
- Strong understanding of data lakehouse architecture principles and cloud-native data processing and analytics solutions.
- Proficiency in infrastructure-as-code tools (Terraform, Github Actions) and integration with Github Enterprise for Code and Infrastructure deployments.
- Advanced knowledge of data modeling, performance tuning, and optimization techniques.
- Bachelor's Degree in Computer Science or a related field (Required).
