Cloud Data Infrastructure Architect at Medius
8 hours ago
**Job Summary**: We are seeking an experienced Cloud Data Infrastructure Architect to join our team at Medius. As a key member of our data engineering team, you will be responsible for designing and implementing scalable data processing infrastructure and ETL pipelines on Azure.
**About the Role**: In this role, you will have the opportunity to work with cutting-edge technology and collaborate with a talented team of engineers and architects. You will be responsible for ensuring efficient and reliable data flow to support AI/ML models, analytics, reporting, and other data-driven applications.
**Key Responsibilities**:
- Design and implement scalable data processing infrastructure and ETL pipelines on Azure
- Establish and enforce robust data governance practices to ensure the security, integrity, and availability of data across the platform
- Continuously enhance your data engineering expertise and share insights and best practices with the team to foster a culture of learning and innovation
**Requirements**:
- Strong hands-on experience with Azure cloud services, including Spark/Databricks
- Minimum 5 years of experience as a Data Engineer
- Proficiency in Python and SQL, with a proven track record of building and optimizing complex ETL/ELT processes in Data Lakehouse environments
- Experience with data mesh architecture is highly desirable
**What We Offer**: A competitive salary of $140,000 - $170,000 per year, depending on experience, plus a range of benefits including health insurance, retirement plan, and professional development opportunities.
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