Top Tech Jobs & Startup Jobs in Dublin

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes governance, quality, lineage, observability, and security controls; optimizes large-scale processing; and guides technical strategy. Partners across risk, product, architecture, and engineering, mentors teams, influences stakeholders, supports compliance, and drives delivery across complex initiatives.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes governance, quality, lineage, observability, security, and compliance controls; optimizes large-scale workloads; and drives technical standards, cross-functional delivery, mentoring, and strategic roadmap planning.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Builds scalable cloud-based ETL/ELT and streaming solutions using Databricks, Spark, Delta Lake, SQL, and Python. Establishes data quality, governance, lineage, security, monitoring, and operational excellence practices. Partners across risk, product, architecture, and engineering; influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Leads architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Builds distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern software practices. Drives modernization, technical strategy, architecture reviews, cross-team execution, reliability, security, observability, and continuous delivery while mentoring engineers and coordinating globally distributed teams.

Lead the architecture, design, development, and modernization of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, and Spark/PySpark. Drive technical strategy, system design, code reviews, architecture decisions, and cross-team execution while mentoring engineers and ensuring secure, reliable, observable, high-performance software delivery.

Provides senior technical leadership as an individual contributor, designing and delivering secure, scalable, resilient enterprise software. Leads architecture, development, testing, deployment, operational readiness, automation, production troubleshooting, and technical standards across teams. Partners with product, business, architecture, and engineering stakeholders, influences technology roadmaps, reduces technical debt, mentors engineers, and drives engineering excellence across complex distributed systems.

Lead machine learning and data science initiatives from problem definition through production deployment and business impact measurement. Develop predictive models, recommendation systems, forecasting, fraud detection, and customer analytics solutions using modern machine learning and foundation-model techniques. Establish experimentation and evaluation frameworks, partner with cross-functional stakeholders, present technical recommendations, mentor data scientists and AI engineers, and shape the organization’s technical direction.

Leads architecture, design, coding, testing, and delivery of a cloud-native experimentation and analytics platform. Builds scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, Spark, and Kubernetes. Drives modernization, technical strategy, architecture reviews, reliability, security, observability, and continuous delivery. Coordinates globally distributed teams, partners cross-functionally, mentors engineers, and ensures production-quality solutions aligned with enterprise standards.

Leads the design and implementation of enterprise data platforms, ETL/ELT pipelines, lakehouse architectures, and distributed processing systems supporting credit risk and analytics. Establishes data quality, governance, lineage, security, monitoring, and operational standards while modernizing legacy assets in the cloud. Partners with product, risk, architecture, and data science teams, mentors engineers, influences technical strategy, optimizes performance and cost, supports compliance, and drives complex cross-functional initiatives.

Lead architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, technical strategy, design reviews, delivery coordination, reliability, security, observability, and continuous improvement. Mentor engineers and collaborate across product, data science, QA, security, operations, and globally distributed engineering teams.