Data Engineering Manager (Cloud Services and Data Transformation)

Ascension

1d•$118,129 - $159,821•Remote

About The Position

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

Requirements

Strong technical proficiency in data engineering technologies (eg ETL tools, Spark, Kafka, DataForm), cloud data platforms, preferably GCP (others include Azure, AWS), data pipeline orchestration (eg Apache, Airflow, Jenkins), and extracts
Expertise in programming languages such as Python, Java, Scala
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
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.
3 years of leadership or management experience preferred.

Nice To Haves

Master Data Management experience is a plus, but not required.

Responsibilities

overseeing and driving the success of data engineering workgroups
driving the analysis, design, development, test, deploy and optimization of data infrastructure and pipelines
managing, mentoring, guiding and empowering their workgroups
taking full ownership of technical project oversight
driving the delivery roadmap
reviewing estimations and story points
driving data analysis, data pipeline design, automation, code quality, security standards and compliance of data products & services
owning and removing technical dependencies
keeping the team focused on delivering work items within the data pipeline lifecycle
ensuring the testing strategy is developed and completed successfully
validating successful completion of testing
ensuring all delivery steps in the SDLC have been performed
reviewing and approving iteration progress metrics within Jira and status reporting
driving handoff of data product / service deliverables to DataOps
collaborating across diverse functional groups to drive consensus across project delivery
collaborating, driving & liaising across Delivery workgroups
providing clear and concise updates to the PMO or P&E Specialist
participating in Sprint Ceremonies
collaborating with Release & Change Management lead for Release Planning & Operationalization
facilitating communication
collaborating with MSP’s / Augmentation partners
driving associate growth via HR duties