AI Data Engineer

Opportunity Overview

• Data Platform Engineering

• Design, develop, and maintain scalable data integration and data processing solutions across enterprise platforms.

• Build and optimize ETL/ELT pipelines using modern cloud-based technologies.

• Develop and maintain data models, datasets, and supporting architecture for analytics, automation, and operational reporting.

• Ensure data quality, reliability, performance, and governance across supported platforms.

• Support platform modernization, migration, and continuous improvement initiatives.

• Enterprise Platform Administration & Support

• Administer and support enterprise data platforms including Snowflake, Informatica Cloud, Power BI, and related technologies.

• Monitor platform health, performance, security, and operational usage.

• Troubleshoot complex technical issues and coordinate resolution activities across multiple teams.

• Participate in platform upgrades, maintenance activities, and governance initiatives.

• Develop and maintain operational documentation, standards, and procedures.

• Automation & Process Optimization

• Identify opportunities to eliminate manual processes through automation and technology solutions.

• Design and implement automated workflows, integrations, and operational controls.

• Develop reusable frameworks, scripts, and tools that improve efficiency and reduce operational overhead.

• Promote best practices for automation, operational excellence, and continuous improvement.

• Support AI-driven and intelligent automation initiatives across the organization.

• Analytics, Reporting & Business Intelligence

• Develop, administer, and optimize Power BI reporting solutions, semantic models, and dashboards.

• Support enterprise reporting, data visualization, and self-service analytics initiatives.

• Ensure data consistency, governance, and security across reporting environments.

• Work with business and technical stakeholders to translate requirements into analytical solutions.

• Deliver actionable insights through data visualization and performance reporting.

• AI & Emerging Technologies

• Evaluate, implement, and support AI-enabled capabilities that improve business operations and user productivity.

• Participate in the design and integration of AI agents, copilots, and intelligent automation solutions.

• Collaborate with architecture, engineering, and business teams to identify high-value AI use cases.

• Stay current on emerging technologies and industry best practices.

• Contribute to the adoption of modern AI and automation capabilities across enterprise platforms.