Your future role at a glance- Location: Remote
- Department: Data Delivery and Governance
- Schedule: Days | Full-Time
- Eligible for an annual bonus incentive
#LI-Remote
How you'll make an impact in this role- Team Leadership: Manage, mentor, and grow a high-performing, diverse team of data engineers, DevOps specialists, and platform engineers.
- Operational Excellence: Own the reliability, high availability, and operational health of mission-critical, enterprise-level production data systems.
- Cloud Architecture & Delivery: Oversee the architectural design and deployment of scalable data solutions across the Google Cloud Platform (Google Cloud Platform) ecosystem.
- Process Automation: Lead the strategy and execution for CI/CD pipelines, Infrastructure as Code (IaC), and robust observability frameworks.
- AI Innovation: Champion and integrate AI-assisted engineering practices to optimize development workflows, boost efficiency, and improve system resilience.
- Cross-Functional Collaboration: Partner closely with product, analytics, and business teams to align technical deliverables with strategic goals, leveraging enterprise operational and analytics tools.
What minimum requirements you'll need Education: - High School diploma equivalency with 3 years of cumulative experience OR Associate's
- degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.
Additional Preferences: - Domain Experience: 8+ years of hands-on experience in Cloud Data Engineering, DevOps, Software Engineering, Platform Engineering, or Data Operations.
- Leadership: 3+ years of technical leadership experience actively managing engineering or operational teams.
- Production Operations: Proven track record of managing enterprise-level production systems with stringent high-availability and operational excellence requirements.
- Google Cloud Platform Ecosystem: Deep technical expertise in core Google Cloud Platform services, specifically BigQuery, Cloud Composer/Airflow, Dataflow, Dataproc, and Cloud Storage.
- Automation & CI/CD: Strong proficiency with Infrastructure as Code (IaC), CI/CD pipelines, automated testing, and modern observability tooling.
- Enterprise Tooling: Hands-on experience with enterprise operational and project management tools (ServiceNow, Jira, Confluence) as well as BI/analytics platforms (Power BI, Looker).
- Engineering Culture: Active interest in AI-assisted engineering practices and a strong commitment to cultivating an inclusive, collaborative, and high-performing team culture.
Benefits that help you thrive - Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options
- Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance
- Time to recharge: pro-rated paid time off (PTO) and holidays
- Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning
- Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources
- Family support: parental leave, adoption assistance and family benefits
- Other benefits: optional legal and pet insurance, transportation savings and more
Life at Ascension: Where purpose meets opportunityAscension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you'll find an inclusive and supportive environment where your contributions truly matter.
Equal employment opportunity employerAscension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.
Fraud prevention noticeProspective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process, our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system.
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ResponsibilitiesHow you'll make an impact in this role- Team Leadership: Manage, mentor, and grow a high-performing, diverse team of data engineers, DevOps specialists, and platform engineers.
- Operational Excellence: Own the reliability, high availability, and operational health of mission-critical, enterprise-level production data systems.
- Cloud Architecture & Delivery: Oversee the architectural design and deployment of scalable data solutions across the Google Cloud Platform (Google Cloud Platform) ecosystem.
- Process Automation: Lead the strategy and execution for CI/CD pipelines, Infrastructure as Code (IaC), and robust observability frameworks.
- AI Innovation: Champion and integrate AI-assisted engineering practices to optimize development workflows, boost efficiency, and improve system resilience.
- Cross-Functional Collaboration: Partner closely with product, analytics, and business teams to align technical deliverables with strategic goals, leveraging enterprise operational and analytics tools.
QualificationsWhat minimum requirements you'll need Education: - High School diploma equivalency with 3 years of cumulative experience OR Associate's
- degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.
Additional Preferences: - Domain Experience: 8+ years of hands-on experience in Cloud Data Engineering, DevOps, Software Engineering, Platform Engineering, or Data Operations.
- Leadership: 3+ years of technical leadership experience actively managing engineering or operational teams.
- Production Operations: Proven track record of managing enterprise-level production systems with stringent high-availability and operational excellence requirements.
- Google Cloud Platform Ecosystem: Deep technical expertise in core Google Cloud Platform services, specifically BigQuery, Cloud Composer/Airflow, Dataflow, Dataproc, and Cloud Storage.
- Automation & CI/CD: Strong proficiency with Infrastructure as Code (IaC), CI/CD pipelines, automated testing, and modern observability tooling.
- Enterprise Tooling: Hands-on experience with enterprise operational and project management tools (ServiceNow, Jira, Confluence) as well as BI/analytics platforms (Power BI, Looker).
- Engineering Culture: Active interest in AI-assisted engineering practices and a strong commitment to cultivating an inclusive, collaborative, and high-performing team culture.
