Cloud Engineer with Data Platforms Experience

About the Product :

For more than 30 years, Carnegie has been a leader and innovator in higher education marketing and enrollment strategy, offering groundbreaking services in the areas of Research, Strategy, Digital Marketing, Lead Generation, Slate Optimization, Student Search, Website Development, and Creative that generate authentic connections.

Job Purpose :

The Cloud Engineer with Data Platforms Experience will be responsible for building and maintaining cloud infrastructure and applications that primarily interface with data platforms, as well as building and maintaining Python-based applications that may or may not be deployed in the cloud. This role will ensure that our cloud environments and data-centric applications are built, configured, optimized, and adopted to meet evolving needs. The Cloud Engineer will own infrastructure requirements, configuration standards, performance optimization, and cross-team coordination related to cloud and data platforms.

Duties and Responsibilities :

Cloud Infrastructure and Data Platforms

Design, build, and maintain scalable and secure cloud infrastructure that supports data platforms.

Implement and manage cloud-based data platforms such as BigQuery / Redshift, GCS / S3, etc.

Develop and maintain infrastructure-as-code solutions using tools like Terraform / CloudFormation.

Implement and manage cloud-based CI / CD workflows for infrastructure and data platform deployments.

Monitor and optimize cloud resource performance and cost.

Ensure data quality checks for source, integration, and reporting layers; escalate defects with clear reproduction steps and impact.

Python Application Development

Design, develop, and maintain Python-based applications, both cloud-deployed and on-premises.

Utilize Python libraries such as Flask for application development.

Implement and manage CI / CD workflows for Python applications.

Collaborate with development teams to integrate applications with cloud and data platforms.

Collaboration and Communication

Serve as a primary liaison among business leads, product managers, and data / engineering teams.

Facilitate demos, knowledge-sharing sessions, and best-practice documentation for data solutions.

Promote adoption of new data capabilities and practices; gather feedback for continuous improvement.

Release and Change Management

Coordinate release plans, timelines, and stakeholder readiness for data model and SQL deployments.

Ensure training, job aids, and rollout communications are prepared and delivered for data solutions.

Track post-release issues, adoption, and stabilization metrics related to data platforms.

Knowledge / Skills / Abilities :

Ability to produce and manage, work autonomously, and take initiative.

“Can-do” attitude with unwavering ethics and a willingness to help others.

Exceptional relationship-building skills, cultural competency, and ability to communicate effectively with diverse groups of people and roles.

Willingness to embrace relational nuances, own personal mistakes, be empathetic, address conflicts directly and transparently, and commit to self-reflection and self-betterment.

Dexterity to effectively deal with ambiguity, change, and continuous process improvements.

Strong business analysis fundamentals : elicitation, documentation, process mapping, traceability, UAT.

Requirements :

Familiarity with cloud-based data platforms, e.g., BigQuery / Redshift, GCS / S3, and etc.

Infrastructure-as-code solutions, e.g., Terraform / CloudFormation.

Cloud-based CI / CD workflows.

Performance and cost optimization for cloud resources.

Experience with Python and familiarity with libraries such as Flask.

Experience with Git and Git providers, e.g., GitHub / BitBucket / GitLab.

Nice-to-haves :

Cloud-based IAM, networking, and security.

Experience with data orchestration frameworks, e.g., Airflow, Prefect, Dagster, dbt.

Experience with monitoring and observability tools.

Credentials and Experience :

College degree or equivalent life / work experience.

5+ years in cloud engineering, data engineering, systems administration, or product operations within SaaS, marketing technology, higher ed tech, or related domains.

We offer :

We welcome new ideas and allow you to make an immediate impact on the team.

Flexible Paid time off (PTO for any reason, including sick days (no specified limits) and flexible work schedule.

Personal laptop.

Health / Sport Budget.

Fully remote.