Principal Data Solution Architect

Rarr Technologies; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading technology company is seeking a skilled Data Solution Architect to design and implement solutions across various cloud environments. The ideal candidate will have extensive experience in data architecture and management practices, with hands-on expertise in multiple cloud platforms. This role involves creating documentation and supporting data warehouses, making it crucial for candidates to have a strong background in SQL and data governance.

Qualifications

• Minimum of 5 years of experience in a Data Architect role.
• Hands-on experience in at least two hyper-scaler environments.
• Strong expertise in data exploration using SQL.

Responsibilities

• Design solutions and lead implementation across multiple cloud environments.
• Create high-level and detailed data architecture and design documentation.
• Support data warehouses and cloud data platforms/environments.

Skills

Data architecture

Solution design

Data management

SQL

Data governance

Tools

dbt

Fivetran

Matillion

Job description

Data Solution Architect

We are seeking a skilled Data Solution Architect to design solutions and lead implementation across multiple cloud environments. The ideal candidate will have extensive experience in data architecture, solution design, and data management practices, with hands-on experience in at least two hyper-scaler environments.

Responsibilities:

1. Minimum of 5 years of experience in a Data Architect role, supporting data warehouses and cloud data platforms/environments.
2. Experience with any two of the following cloud providers: GCP, AWS, Azure.
3. Knowledge of cloud services for data loading, migration, and curation.
4. Experience with cloud-native serverless SQL solutions.
5. Understanding of the differences between cloud providers' services and their cost implications.
6. Exposure to modern data processing tools like dbt, Fivetran, Matillion is preferred.
7. Strong expertise in data exploration using SQL and understanding data relationships.
8. Extensive knowledge of data management, governance, and security frameworks.
9. Proven experience in creating high-level and detailed data architecture and design documentation.