Azure Data Architect

DMS Vision • Frisco, CA

19h • Onsite

About The Position

The Data and Cloud Solutions Architect will help design, evolve, and optimize the company’s cloud-based data architecture. The role calls for a strong data engineering background, hands-on experience building cloud data solutions, and the ability to communicate complex designs through diagrams and documentation. The position is onsite in San Jose, California, and requires working Pacific Time hours. Relocation is acceptable.

Requirements

• Four-year bachelor’s degree in Computer Science.
• At least 5 years of hands-on data engineering experience using distributed computing approaches such as Spark, MapReduce, or Databricks.
• Proven experience designing and implementing cloud-based data solutions in Azure.
• Deep understanding of data modeling concepts and techniques.
• Strong proficiency with relational and non-relational database systems.
• Exceptional diagramming skills using tools such as Visio, Lucidchart, or other data visualization software.
• Exemplary written and verbal communication skills.
• Outstanding analytical and problem-solving skills.
• Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership.
• LinkedIn profile is required.

Nice To Haves

• Advanced knowledge of cloud-specific data services such as Databricks and Azure Data Lake.
• Expertise in big data technologies such as Hadoop and Spark.
• Strong understanding of data security and governance principles.
• Experience with scripting languages such as Python and SQL.

Responsibilities

• Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
• Drive the selection and integration of cloud data services, including storage, databases, and analytics tools.
• Develop cloud data strategies aligned with business goals.
• Create data flow, entity-relationship, and system architecture diagrams to guide implementation and knowledge sharing.
• Maintain detailed documentation of data architecture, design decisions, and processes.
• Contribute hands-on to implementing cloud data solutions.
• Identify and implement performance optimization strategies for cloud data systems.
• Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.

What This Job Offers

• Career Level: Senior