Senior Data Developer
U.S. Bank
full-time
Posted on:
Location Type: Hybrid
Location: Loughlinstown • Ireland
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Job Level
About the role
- Design, develop, and optimise scalable data pipelines (batch and/or streaming) to ingest, transform, and curate data from multiple internal and external sources
- Build and maintain curated datasets and semantic layers that support analytics, reporting, and operational use cases
- Apply best practices in modular design, automated testing, CI/CD, monitoring, and operational support
- Ensure solutions meet performance, resiliency, and security requirements appropriate to the organisation’s operating model
- Define, implement, and manage data quality frameworks and controls (e.g., validation rules, completeness, accuracy, timeliness, uniqueness, and integrity)
- Develop automated data quality checks and dashboards, including thresholds, alerts, and trend reporting
- Partner with Data Owners and Stewards to triage, remediate, and prevent recurring data quality issues via root‑cause analysis
- Embed data quality gates into pipelines and release processes, enabling measurable improvements in data trustworthiness
- Configure and maintain metadata assets within Collibra, including business glossary terms, technical metadata, ownership, classifications, policies, and data quality rules
- Establish and maintain end‑to‑end data lineage across platforms and products, ensuring transparency from source to consumption
- Collaborate with Data Governance to align development practices with standards for metadata, data cataloguing, access controls, and retention
- Build data products that support decision‑making, such as operational dashboards, management reporting datasets, and self‑service analytics assets
- Act as an escalation point for complex technical issues across pipelines, platform components, and data governance tooling
- Provide technical leadership and mentoring to other developers, promoting best practices and consistent engineering standards
Requirements
- 10 plus years of technology or risk services experience
- 10 plus years of management experience
- BA/MBA in IT or relevant experience
- Strong experience designing and developing data pipelines and data models (dimensional and/or domain‑oriented)
- Proven ability to engineer data quality checks and remediation workflows at scale
- Strong SQL skills and experience with modern ETL/ELT patterns and orchestration tools
- Experience building analytics-ready datasets and supporting dashboards/BI consumption (tooling dependent on your stack)
- Experience using AI tools and agents to improve efficiency and quality across data management and governance is desirable
- Demonstrable experience using Collibra for one or more of the following: metadata management and cataloguing, business glossary management, data ownership/stewardship workflows
- Strong understanding of metadata standards and data governance concepts (ownership, stewardship, critical data elements, and controls)
- Experience implementing or integrating lineage across pipelines and tools, including source‑to‑target mapping and transformation traceability
- Understanding of data observability/monitoring concepts (pipeline health, freshness, anomaly detection, and incident response)
- Excellent written documentation skills, with a commitment to clarity and maintainability
- Ability to work effectively in ambiguous environments, managing multiple priorities with minimal oversight
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata modelsdata quality checksSQLETLELTdata governancedata lineagemetadata managementdata observability
Soft Skills
technical leadershipmentoringwritten documentationclaritymaintainabilitymanaging multiple prioritiesworking in ambiguous environments
Certifications
BA in ITMBA in IT