Data Architect: Scalable Data Platforms & AI

Innova Solutions Inc; Salt Lake City (UT); On-site; USD 90,000 - 92,000; Full time

Benefits offered by this job

Medical coverage

Dental/vision insurance

401(k)

Health saving account (HSA)

Flexible spending account (FSA)

Life Insurance

Disability insurance

Pre-paid legal & ID theft protection

Sick time

Paid leaves

EAP

Job summary

Innova Solutions is hiring a Data Architect in Salt Lake City to design, build, and maintain scalable data solutions across manufacturing, operations, analytics, and AI initiatives. You will enhance data quality, develop data models, and ensure operational data is structured and actionable for business decisions.

Ideal candidates have 5+ years in data architecture/engineering, strong SQL/Python skills, and experience with data warehouses, ETL/ELT, and cloud data platforms.

Qualifications

• Bachelor's degree required; 5+ years in data architecture/engineering or related fields.
• Strong proficiency in SQL, Python, and data modeling concepts.
• Experience with data warehouses, data lakes, ETL/ELT processes, and cloud data platforms.
• Knowledge of data governance and data quality practices.

Responsibilities

• Design and maintain enterprise data architectures, including data warehouses, data lakes, and cloud-based platforms.
• Develop and optimize SQL queries, data pipelines, and integration processes for reporting and analytics.
• Build scalable infrastructure for data collection, storage, analytics, and AI/ML applications.
• Establish data models, governance standards, and best practices for enterprise data.

Skills

SQL

Python

Data modeling

Data governance

Cloud data platforms

Education

Bachelor's degree in Computer Science or related field

Job description

Innova Solutions is hiring a Data Architect in Salt Lake City to design, build, and maintain scalable data solutions across manufacturing, operations, analytics, and AI initiatives. You will enhance data quality, develop data models, and ensure operational data is structured and actionable for business decisions.

Ideal candidates have 5+ years in data architecture/engineering, strong SQL/Python skills, and experience with data warehouses, ETL/ELT, and cloud data platforms.