Data Architect: Hybrid Cloud Leader for Enterprise Data

GreatAmerica; Cedar Rapids (IA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work arrangements

401(k) and Company Match

Annual Profit Sharing

Paid Time Off

Health Insurance

Gym Reimbursement

Job summary

GreatAmerica is seeking a Data Architect to design and deliver the organization's data infrastructure across hybrid cloud environments. You will shape enterprise data architecture, guide modernization initiatives, and ensure governance and compliance while enabling advanced analytics across the business.

The ideal candidate has 7+ years in data architecture, deep knowledge of SQL/NoSQL, and hands-on experience with Azure data services.

Qualifications

• Bachelor's degree in CS, IT, or related field.
• 7+ years in data architecture or related roles.
• Expertise in cloud data architectures and data modeling.
• Experience with Azure Data Factory, Synapse, Databricks.
• Experience with SQL and NoSQL databases.

Responsibilities

• Design scalable enterprise data architectures.
• Build real-time and batch data pipelines.
• Implement ETL/ELT processes for reliable data movement.
• Enforce data governance, security, and compliance.
• Mentor team members and promote best practices.
• Collaborate with cross-functional teams to operationalize data solutions.

Skills

Data architecture

Cloud platforms

SQL

NoSQL

ETL/ELT

Azure services

Data modeling

Data governance

Leadership

Education

Bachelor's degree in CS/IT or related field

Tools

SSIS

SSAS

Azure Data Factory

Azure Synapse

Azure Data Lake Storage

Databricks

dbt

Airflow

Informatica Cloud

Salesforce Data Cloud

Job description

GreatAmerica is seeking a Data Architect to design and deliver the organization's data infrastructure across hybrid cloud environments. You will shape enterprise data architecture, guide modernization initiatives, and ensure governance and compliance while enabling advanced analytics across the business.

The ideal candidate has 7+ years in data architecture, deep knowledge of SQL/NoSQL, and hands-on experience with Azure data services.