Hybrid Senior Data Developer

at U.S. Bank

• Job title: Senior Data Developer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: ETL, SQL
• Location requirements: Hybrid, Loughlinstown, Ireland

About the role

• Senior Data Developer responsible for designing data products at U.S. Bank. Collaborating with stakeholders to enhance data governance and quality across the organization.

Responsibilities

• 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