Hybrid Cloud Data Architect for Enterprise Analytics & AI

Jazwares, LLC; Plantation (FL); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Life insurance

401(k) with company match

Disability insurance

Tuition reimbursement

Job summary

Jazwares, LLC seeks a Data Architect to design, build and manage an enterprise data architecture supporting BI, analytics, AI and data science initiatives. You will shape data strategy across departments, drive cloud modernization, and establish robust governance and metadata practices.

The role collaborates with Data Engineers, Analysts and BI teams to enable self-service analytics while delivering scalable pipelines and secure data modeling across AWS/Azure/GCP.

Qualifications

• 5+ years as Data Architect/Enterprise Architect or similar role.
• 10+ years SQL, advanced data modeling, and optimizing queries.
• 5+ years building scalable data pipelines (Databricks, Snowflake, Glue, ADF, dbt).
• Cloud data architectures in AWS/Azure/GCP and cloud data warehouses.
• 3+ years with GitLab/GitHub, DataOps and CI/CD.

Responsibilities

• Design and maintain enterprise data architecture frameworks, data models and roadmaps.
• Develop scalable data integration pipelines and cloud modernization efforts.
• Enforce data governance, metadata management and security standards.
• Build data structures supporting reporting, dashboards, analytics and AI.
• Collaborate with Data Engineers, Analysts and BI teams for self-service analytics.
• Provide architecture reviews and maintain documentation.

Skills

Data Architecture

SQL

Data modeling

Data pipelines

Cloud experience

Git / CI/CD

Communication

Project management

Education

Bachelor's degree in CS/CE/IS

Tools

Databricks

Snowflake

Glue

Azure Data Factory

dbt

Job description

Jazwares, LLC seeks a Data Architect to design, build and manage an enterprise data architecture supporting BI, analytics, AI and data science initiatives. You will shape data strategy across departments, drive cloud modernization, and establish robust governance and metadata practices.

The role collaborates with Data Engineers, Analysts and BI teams to enable self-service analytics while delivering scalable pipelines and secure data modeling across AWS/Azure/GCP.