About the Role
- Partner with cross-functional engineering teams, product management, and platform/infrastructure leadership to define and drive the technical strategy for Data Lifecycle Management (DLM) capabilities within the Deployment Technology organization.
- Design and build systems that manage the full lifecycle of data — retention, archival, tiering, purge/deletion, backup and restore, and migration — ensuring compliant, efficient, and reliable operation at scale.
- Proactively identify systemic risks and scalability bottlenecks across data retention pipelines and deployment processes, and design engineering mitigations that span multiple services and release trains.
- Lead standardization and continuous improvement efforts for data lifecycle tooling and deployment processes across the Deployment Technology organization.
- Facilitate technical design reviews and architecture discussions with senior engineering and product stakeholders on DLM and deployment systems.
- Deliver regular technical updates to engineering leadership covering system health, deployment readiness, data compliance milestones, and risk mitigation for DLM initiatives.
- Shape engineering best practices for data lifecycle and deployment tooling, and mentor engineers across the team.
About You
Basic Qualifications
- 8+ years of experience in software development engineering — architecting, building, and scaling robust and efficient software systems — ideally including exposure to data management, storage systems, or deployment/release engineering.
- Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
- Other Qualifications:
- Strong algorithmic thinking, with expertise in data structures, graph algorithms, and dynamic programming, applied to large-scale data retention, archival, and purge/deletion problems.
- Experience designing and building scalable, distributed APIs and services that manage data lifecycle states (retention, tiering, archival, deletion) across large multi-tenant systems, applying REST and modern versioning best practices.
- Hands-on experience with deployment technologies and release engineering — CI/CD pipelines, infrastructure as code, and orchestration/automation tooling used to safely roll out data lifecycle changes at scale.
- Proficiency in advanced testing methodologies (unit, integration, performance) for data pipelines and deployment systems, with hands-on experience using industry-standard testing frameworks.
- Solid grasp of Object-Oriented Design principles, including design patterns and SOLID principles, applied to scalable data management and deployment architectures.
- Familiarity with data governance, compliance, and privacy requirements (e.g., retention policies, right-to-be-forgotten/deletion, audit trails) as applied to enterprise data lifecycle systems.
- Strong proficiency in modern programming languages and development methodologies, including Agile and CI/CD practices.
Workday Pay Transparency Statement (For EU Locations Only)
Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workday’s comprehensive benefits, please click here.
Primary Location Base Pay Range: €86,400 EUR - €129,600 EUR Ireland
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