AIS (Applied Information Sciences)

Data Engineer

• Define and govern the overall EDW Foundry architecture, including Silver, Gold, and Platinum data layers
• Lead enterprise dimensional modeling initiatives, including conformed dimensions, business data products, and bus matrix strategy
• Establish and enforce standards for data governance, metadata management, data quality, validation, lineage, and data promotion
• Provide architectural leadership for Snowflake, DBT, Airflow, metadata platforms, and modernization initiatives
• Define AI-assisted development standards, engineering patterns, and delivery frameworks
• Develop enterprise architecture roadmaps for data platform modernization and cloud transformation
• Design conceptual, logical, and physical data models for reporting, analytics, and operational use cases
• Translate business and technical requirements into scalable, maintainable data solutions
• Establish best practices for DataOps, DevOps, CI/CD, and automated deployment
• Lead architecture reviews, technical design sessions, and modernization planning
• Evaluate emerging technologies and recommend solutions to improve performance and scalability
• Provide technical oversight, mentorship, and architectural direction to data engineering teams
• Support project planning, roadmap development, estimation, and executive stakeholder engagements
• Provide technical leadership for the EDW Foundry modernization program and partner with stakeholders and delivery teams

Senior Data Architect

DevOps Engineer

• Responsible for the availability, performance, monitoring, and incident response, among other things, of the cloud platforms and services.
• Ensure that everything that goes to production complies with a set of general requirements like diagrams, dependencies of other services, monitoring and logging plans, backups and possible high availability setups.
• Manages uncaught exceptions, hardware degradation, networking problems, high usage of resources, or slow responses that could happen at any time.
• Uses metrics such as mean time to recover (MTTR) and mean time to failure (MTTF).
• Considered an emerging authority, who applies extensive technical expertise.
• Develops technical solutions to complex problems.
• Exercises considerable latitude in determining objectives and approaches to assignment.

Reliability Engineer

Full-stack Engineer

• Lead design and development of scalable, distributed, and secure software solutions/systems using cutting-edge cloud and data technologies.
• Define architectural framework, design technical standards, and guide development teams to achieve project goals.
• Oversee complex solution development and guide, train team members on architectural principles.
• Troubleshoot complex issues, monitor applications, and support production incident resolution.
• Create and manage unit and automation tests, ensuring test coverage and stability.
• Actively participate in code reviews to maintain high code quality.
• Mentor developers, promote best practices, and contribute to continuous development initiatives.
• Collaborate with DevOps and infrastructure teams to optimize resource usage and implement best practices for cloud-native development.
• 10% domestic travel within the east coast on a regular basis.

Senior Data Architect

Reliability Engineer

Senior Software Architect