Cloud Data AI – Foundations Manager

Ascension

. Manage, mentor, and grow a high-performing, diverse team of data engineers, DevOps specialists, and platform engineers .

Posted 11/9/2026full-timeRemote • United StatesSeniorLead💰 $113,120 - $204,059 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing and mentoring diverse engineering teams while ensuring the reliability and operational health of enterprise-level data systems. Proficient in deploying scalable solutions on Google Cloud Platform and implementing CI/CD pipelines and Infrastructure as Code practices.

Highest-signal resume keywords

Cloud Data EngineeringTechnical LeadershipBigQueryInfrastructure as Code (IaC)CI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Data EngineeringDevOpsSoftware EngineeringPlatform EngineeringBigQueryCloud Composer/AirflowDataflowDataprocInfrastructure as Code (IaC)Automated Testing

Soft Skills

MentoringCollaborationTeam Culture Development

Tools & Technologies

ServiceNowJiraConfluencePower BILooker

Industry Keywords

High AvailabilityOperational ExcellenceEnterprise-Level Production SystemsAI-Assisted Engineering PracticesObservability Frameworks

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformServiceNow

About the role

Key responsibilities & impact

Manage, mentor, and grow a high-performing, diverse team of data engineers, DevOps specialists, and platform engineers
Own the reliability, high availability, and operational health of mission-critical, enterprise-level production data systems
Oversee the architectural design and deployment of scalable data solutions across the Google Cloud Platform ecosystem
Lead the strategy and execution for CI/CD pipelines, Infrastructure as Code, and robust observability frameworks
Champion and integrate AI-assisted engineering practices to optimize development workflows, boost efficiency, and improve system resilience
Partner with product, analytics, and business teams to align technical deliverables with strategic goals using enterprise operational and analytics tools

Requirements

What you’ll need

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
8+ years of hands-on experience in Cloud Data Engineering, DevOps, Software Engineering, Platform Engineering, or Data Operations
3+ years of technical leadership experience actively managing engineering or operational teams
Proven track record of managing enterprise-level production systems with stringent high-availability and operational excellence requirements
Deep technical expertise in BigQuery, Cloud Composer/Airflow, Dataflow, Dataproc, and Cloud Storage
Strong proficiency with Infrastructure as Code (IaC), CI/CD pipelines, automated testing, and modern observability tooling
Hands-on experience with ServiceNow, Jira, Confluence, Power BI, and Looker
Active interest in AI-assisted engineering practices
Commitment to cultivating an inclusive, collaborative, and high-performing team culture

Benefits

Comp & perks

Eligible for an annual bonus incentive
Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options
Employer-matched 403(b)
Planning and hardship resources
Disability and life insurance
Pro-rated paid time off (PTO) and holidays
Ascension-paid tuition (Vocare)
Tuition reimbursement
Ongoing professional development and online learning
Employee Assistance Program
Counseling and peer support
Spiritual care and stress management resources
Parental leave
Adoption assistance and family benefits
Optional legal and pet insurance
Transportation savings