Manager, DevOps and Data Engineering

Summary

Join PatientPoint's dynamic team and contribute to improving health outcomes nationwide. As Manager of Data and DevOps Engineers, you will lead a team, oversee data infrastructure, and foster professional growth. Responsibilities include defining technical roadmaps, building high-performing teams, conducting performance evaluations, and collaborating with stakeholders. You will also manage projects, maintain CI/CD frameworks, and ensure data reliability. The ideal candidate possesses extensive experience in data/DevOps engineering, team leadership, and cloud data warehousing platforms. A strong technical background and commitment to professional development are essential.

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
• Strong project management skills, with a track record of delivering complex projects on time and within scope
• Strategic problem-solving with a focus on aligning data engineering initiatives with business objectives and effectively addressing complex challenges
• Ability to work in fast paced environment while managing shifting priorities
• A proven track record of managing teams, and excellent communication and leadership skills

Benefits

• Competitive compensation
• Flexible time off to recharge
• Hybrid work options
• Mental and emotional wellness resources
• A 401K plan