Cloud Data Architect for AI-Driven, Flexible Work

Empower; United States; On-site; USD 114,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company matching

Tuition reimbursement

Job summary

Empower is seeking a Data Architect to design and guide cloud-based data architectures, working with enterprise teams to modernize data platforms. You will help shape strategy, define reference architectures, and translate complex data insights into practical delivery patterns across the organization.

The role emphasizes security, scalability, and cost optimization, with collaboration across IT, analytics, and business units to drive forward the data strategy and modernization efforts.

Qualifications

• 5+ years delivering data-intensive solutions
• Ownership of solution design for complex initiatives
• Experience across data engineering, BI, analytics
• Proficiency in architecture frameworks and performance
• Ability to communicate decisions across teams

Responsibilities

• Shape solution architectures aligned to a unified data strategy
• Document target state architectures and dependencies
• Design and migrate to scalable cloud architectures
• Evaluate new technologies and inform business cases
• Provide governance and enablement for architectural standards
• Collaborate with business and engineering to meet objectives
• Guide end-to-end data platform integration and security
• Contribute to reusable patterns and best practices
• Support full stack teams with scalable designs

Skills

Data modeling

Cloud architecture

AWS

Snowflake/Redshift

ETL/ELT pipelines

Stakeholder comms

Education

Bachelor’s or higher in CS/IS or related

Equivalent practical experience

Tools

Snowflake

Redshift

AWS

Kinesis

Kafka

Job description

Empower is seeking a Data Architect to design and guide cloud-based data architectures, working with enterprise teams to modernize data platforms. You will help shape strategy, define reference architectures, and translate complex data insights into practical delivery patterns across the organization.

The role emphasizes security, scalability, and cost optimization, with collaboration across IT, analytics, and business units to drive forward the data strategy and modernization efforts.