Manager – Dev Ops & Data Engineering
| Company | PatientPoint |
|---|---|
| Location | Cincinnati, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years of experience in data/DevOps engineering positions
- 3+ years in a managerial or team leadership role developing data infrastructure and technology systems
- Experience in Managing cloud data warehousing platforms (Snowflake, Google BigQuery) and ensuring cost efficiency
- Prior experience in Implementing security best practices for data storage, processing, and access control
- Significant experience with modern software development practices, including CI/CD, automated testing, and cloud-native architecture
- Experience in engineering large-scale enterprise applications end-to-end, with a focus on Data Engineering and Insights
- Proven ability to evaluate the current technology stack and advocate for strategic enhancements to optimize value delivery to the business
- Experience with working with modern data architecture as well as data transformation tooling
- Experience with Snowflake or Google Big Query required
- Ensure high system availability and quick resolution of incidents
Responsibilities
- Lead and mentor a team of data and DevOps engineers fostering a culture of growth and excellence
- Define and execute the technical roadmap for data infrastructure and DevOps practices
- Build and scale a high-performing team of data engineers to enhance data pipelines, develop new data sources, refine existing datasets, and improve data models as PatientPoint’s products evolve
- Conduct regular performance evaluations, establish individual objectives, and deliver constructive feedback to support professional development
- Drive team and organizational growth by actively participating in the recruitment and onboarding of top-tier data engineering talent
- Collaborate with peers, leadership and stakeholders to define project scope, objectives, and deliverables that align with organizational goals
- Develop and monitor project timelines, ensuring milestones are achieved and deliverables are met on schedule. Partner with cross-functional teams to ensure seamless integration of data solutions across the organization
- Work closely with peers, Data Modeler, QA team in maintaining scalable, reliable, and high-performance data pipelines
- Own and maintain CI/CD framework along with pipelines for data and application deployments
- Act as the subject matter expert for the organization’s data platform and pipelines, contributing to their development and strategic direction
- Oversee the creation of automated data quality assurance processes and operational support strategies to maintain data reliability
Preferred Qualifications
- BA/BS in Computer Science, Computer Engineering, Information Technology, Management Information Systems, Software Engineering, Software Development, Data Engineering or related field
- Experience with collaboration tools (Teams, Slack, Jira, Confluence)
- Prior experience in designing and Implementing Snowflake Rules Based Architecture (RBAC)
- Experience in managing SOWs and vendor contracts
- Experience with dbt is preferred
- Experience with Data Management and Data quality concepts
- Experience with Terraform
- Expertise in common programming/code languages, Orchestration and tooling, such as SQL, Python, Airflow, etc.