Data Engineering Manager (Cloud Services and Data Transformation)

Details

• Department: Data Delivery Management
• Schedule: Full Time Monday - Friday 8-5pm CT
• Location: Remote
• Salary: $118,129.00 - $159,821.00 per year
• Eligible for an annual bonus incentive

Benefits

Paid time off (PTO) Various health insurance options & wellness plan Retirement benefits including employer match plan Long-term & short-term disability Employee assistance programs (EAP) Parental leave & adoption assistance Tuition reimbursement Ways to give back to your community Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.

Responsibilities

Responsible for overseeing and driving the success of data engineering workgroups, combining technical expertise with people management skills; drives the analysis, design, development, test, deploy and optimization of data infrastructure and pipelines to support critical data initiatives across the organization to support our ministries' needs. Requires a highly skilled and experienced technical leader responsible for managing, mentoring, guiding and empowering their workgroups in successful delivery of data-driven projects, ensuring best practices in development, automation and security are followed while fostering a culture of innovation and continuous improvement. Role Scope:

• An HR Leader, reports to Delivery Leader
• Takes full ownership of technical project oversight, driving the delivery roadmap for aligned product(s) /and service(s) across multiple workgroups; ensures all technical requirements are met and development is completed according to requirements
• Reviews estimations and story points, challenging them when necessary to ensure realistic timelines and resource allocation
• Drives data analysis, data pipeline design, automation, code quality, security standards and compliance of data products & services
• Owns and removes technical dependencies that may impede workgroup's progress, fostering a culture of continuous improvement
• Keeps the team focused on delivering work items within the data pipeline lifecycle, fulfilling iteration goals and commitments defined in the product version
• Ensures the testing strategy is developed and completed successfully, including Test Plans, Test Cases, Test Scripts, Functional Testing, and documentation of testing outcomes, approving communication for UAT readiness
• Validates successful completion of unit, integration, functional, pre UAT (if applicable), UAT & and performance testing
• Ensures all delivery steps in the SDLC have been performed (analysis, design, build, testing, issue resolution) to enable product deliverable signoff and release scheduling
• Reviews and approves iteration progress metrics within Jira and status reporting, driving delivery roadmap alignment to product and program roadmaps
• Drives handoff of data product / service deliverables to DataOps, ensuring quality knowledge transfer and validates acceptance
• Collaborates across diverse functional groups to drive consensus across project delivery
• Collaborates, Drives & Liaisons across Delivery workgroups to ensure overall delivery of the Data product / Service or the overall Program.
• Provides clear and concise updates to the PMO or P&E Specialist on the status of key data engineering projects, ensuring transparency and effective communication across teams and stakeholders
• Participate in Sprint Ceremonies to ensure alignment on deliverables planned, identify potential issues, risk & drive resolution working with required teams.
• Collaborate with Release & Change Management lead for Release Planning & Operationalization
• Facilitates communication, empowers workgroups to self-optimize their processes, ensures workgroups have necessary resources, and removes any impediments to the team (issue & conflict resolution) in a timely manner
• Collaborate with MSP's / Augmentation partners to ensure their deliverables are meeting the workgroup needs.
• Drives associate growth via HR duties - 1:1s, Quarterly Syncs, Performance Reviews, Training Support

Skills Needed:

• Strong technical proficiency in data engineering technologies (eg ETL tools, Spark, Kafka, DataForm), cloud data platforms, preferably Google Cloud Platform (others include Azure, AWS), data pipeline orchestration (eg Apache, Airflow, Jenkins), and extracts
• Expertise in programming languages such as Python, Java, Scala
• Master Data Management experience is a plus, but not required.
• In-depth knowledge of database management (SQL, NoSQL), data warehousing, data lake, and data integration solutions
• Adept at facilitating critical technical decisions, aligning teams around pipeline architecture and execution
• Strong understanding of data architecture principles, including scalability, reliability and security
• Proven ability to lead and mentor technical teams with experience in conflict resolution, collaboration, and fostering a culture of learning, accountability, and high performance
• Ability to analyze complex technical problems and develop innovative solutions to overcome challenges
• Open to learning and adapting new technologies, tools, and methodologies to keep the team competitive in a rapidly evolving field
• Understanding of modern database solutions like Graph DB, Vector DB, Salesforce Cloud, AI technologies, with ability to translate to consumer needs & dependencies tracking
• Comfortable challenging the existing ways of working with Product Owners, Architects, Test Leads, and Tech Leads to improve processes and outcomes
• Strong willingness to challenge existing processes and advocate for new approaches that increase efficiency and quality
• Proven track record of meeting deadlines, adjusting to scope changes, and adapting plans as necessary to align with organizational priorities
• Bachelor's degree preferred: At least 5-7 years of experience in data engineering or a related field, with at least 2-3 years in a leadership role

Requirements

Education:

• High School diploma equivalency with 3 years of cumulative experience OR Associate'

degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.

• 3 years of leadership or management experience preferred.

Additional Preferences #LI-Remote Why Join Our Team When you join Ascension, you join a team of over 134,000 individuals across the country committed to a Mission of serving others and providing compassionate, personalized care to all. Our inclusive culture, continuing education programs, career coaches and benefit offerings are just a few of the resources and tools that team members can use to create a rewarding career path. In fact, Ascension spent nearly $46 million in tuition assistance alone to support associate growth and development. If you are looking for a career where you can grow and make a difference in your community, we invite you to join our team today. Equal Employment Opportunity Employer Ascension 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. As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension. Pay Non-Discrimination Notice Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants. E-Verify Statement This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information. E-Verify

Responsibilities

Responsible for overseeing and driving the success of data engineering workgroups, combining technical expertise with people management skills; drives the analysis, design, development, test, deploy and optimization of data infrastructure and pipelines to support critical data initiatives across the organization to support our ministries' needs. Requires a highly skilled and experienced technical leader responsible for managing, mentoring, guiding and empowering their workgroups in successful delivery of data-driven projects, ensuring best practices in development, automation and security are followed while fostering a culture of innovation and continuous improvement. Role Scope:

• An HR Leader, reports to Delivery Leader
• Takes full ownership of technical project oversight, driving the delivery roadmap for aligned product(s) /and service(s) across multiple workgroups; ensures all technical requirements are met and development is completed according to requirements
• Reviews estimations and story points, challenging them when necessary to ensure realistic timelines and resource allocation
• Drives data analysis, data pipeline design, automation, code quality, security standards and compliance of data products & services
• Owns and removes technical dependencies that may impede workgroup's progress, fostering a culture of continuous improvement
• Keeps the team focused on delivering work items within the data pipeline lifecycle, fulfilling iteration goals and commitments defined in the product version
• Ensures the testing strategy is developed and completed successfully, including Test Plans, Test Cases, Test Scripts, Functional Testing, and documentation of testing outcomes, approving communication for UAT readiness
• Validates successful completion of unit, integration, functional, pre UAT (if applicable), UAT & and performance testing
• Ensures all delivery steps in the SDLC have been performed (analysis, design, build, testing, issue resolution) to enable product deliverable signoff and release scheduling
• Reviews and approves iteration progress metrics within Jira and status reporting, driving delivery roadmap alignment to product and program roadmaps
• Drives handoff of data product / service deliverables to DataOps, ensuring quality knowledge transfer and validates acceptance
• Collaborates across diverse functional groups to drive consensus across project delivery
• Collaborates, Drives & Liaisons across Delivery workgroups to ensure overall delivery of the Data product / Service or the overall Program.
• Provides clear and concise updates to the PMO or P&E Specialist on the status of key data engineering projects, ensuring transparency and effective communication across teams and stakeholders
• Participate in Sprint Ceremonies to ensure alignment on deliverables planned, identify potential issues, risk & drive resolution working with required teams.
• Collaborate with Release & Change Management lead for Release Planning & Operationalization
• Facilitates communication, empowers workgroups to self-optimize their processes, ensures workgroups have necessary resources, and removes any impediments to the team (issue & conflict resolution) in a timely manner
• Collaborate with MSP's / Augmentation partners to ensure their deliverables are meeting the workgroup needs.
• Drives associate growth via HR duties - 1:1s, Quarterly Syncs, Performance Reviews, Training Support

Skills Needed:

• Strong technical proficiency in data engineering technologies (eg ETL tools, Spark, Kafka, DataForm), cloud data platforms, preferably Google Cloud Platform (others include Azure, AWS), data pipeline orchestration (eg Apache, Airflow, Jenkins), and extracts
• Expertise in programming languages such as Python, Java, Scala
• Master Data Management experience is a plus, but not required.
• In-depth knowledge of database management (SQL, NoSQL), data warehousing, data lake, and data integration solutions
• Adept at facilitating critical technical decisions, aligning teams around pipeline architecture and execution
• Strong understanding of data architecture principles, including scalability, reliability and security
• Proven ability to lead and mentor technical teams with experience in conflict resolution, collaboration, and fostering a culture of learning, accountability, and high performance
• Ability to analyze complex technical problems and develop innovative solutions to overcome challenges
• Open to learning and adapting new technologies, tools, and methodologies to keep the team competitive in a rapidly evolving field
• Understanding of modern database solutions like Graph DB, Vector DB, Salesforce Cloud, AI technologies, with ability to translate to consumer needs & dependencies tracking
• Comfortable challenging the existing ways of working with Product Owners, Architects, Test Leads, and Tech Leads to improve processes and outcomes
• Strong willingness to challenge existing processes and advocate for new approaches that increase efficiency and quality
• Proven track record of meeting deadlines, adjusting to scope changes, and adapting plans as necessary to align with organizational priorities
• Bachelor's degree preferred: At least 5-7 years of experience in data engineering or a related field, with at least 2-3 years in a leadership role

Qualifications

Education:

• High School diploma equivalency with 3 years of cumulative experience OR Associate'

degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.

• 3 years of leadership or management experience preferred.

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