Data Architect

Amiga Informatics; Orlando (FL); On-site; USD 110,000 - 140,000; Full time

Job summary

Amiga Informatics in Orlando is seeking a Data Architect to facilitate high volume ETL/Data Warehousing projects. The ideal candidate will have over 10 years of experience in data architecture and extensive knowledge of PostgreSQL and ETL solutions.

Responsibilities include managing data structures, performance tuning, and ensuring data availability. A Bachelor's degree in computer science is required. This role demands strong data analytical skills and the ability to execute tasks under pressure.

Qualifications

• 10+ years of experience in high volume ETL/Data Warehousing projects.
• Deep knowledge of data architecture, logical and physical database models.
• Experience with time series databases is welcome but not a must.

Responsibilities

• Manage data structures, performance management, and tuning.
• Oversee data ingest into the databases and system monitoring.
• Ensure system availability management and backup/restore processes.

Skills

Data architecture expertise

ETL solutions experience

Data analytical skills

PostgreSQL knowledge

High-pressure task execution

Education

Bachelor’s degree in computer science

Tools

PostgreSQL

Redshift

Job description

Data Architect

Job Description:

• Bachelor’s degree in computer science or similar studies.
• 10+ years of experience working in a high volume ETL/Data Warehousing projects.
• Deep knowledge on data architecture, logical and physical database models.
• Experience with PostgreSQL and Redshift.
• Experience with time series databases is welcome but not a must.
• Extensive experience in development and deployment of Distributed Data Warehouse solutions.
• Experience with ETL solutions (e.g., Informatica, Talend) in a complex, high-volume data environment.
• Manage data structures, performance management and tuning, data ingest into the databases, system monitoring, capacity management, availability management, backup / restore.
• Should possess strong data analytical skills.
• Able to prioritize and execute tasks in a high-pressure environment.