Senior Solution Architect – Big Data & Streaming Platforms – Dublin.

The Client

Our client, a leading banks in Ireland, is looking for a highly motivated and experienced Senior Solution Architect (Big Data & Streaming Platforms) to work in Dublin, Ireland.

What You’ll Love

This role is part of a long-term strategic project within the Bank, so this is an opportunity to work for the top bank in the country on a Permanent / Rolling Contract basis. The role offers a Competitive Day Rate and Hybrid working option is available.

What you are expected to have

10+ years’ overall IT experience, with significant experience in data platform, integration, or distributed systems delivery. 5+ years’ experience in solution architecture, technical architecture, or lead design roles. 2+ years’ experience architecting streaming or real-time data applications, preferably using Kafka or equivalent event streaming technologies. Proven experience designing solutions on Cloudera CDH/CDP or equivalent big data platforms. Strong demonstrable experience with some of the distributed data technologies (if not all) such as: HBase Spark NiFi Kafka Flink Hive Impala Experience designing and delivering large-scale data ingestion, transformation, storage, and consumption patterns. Experience with Kafka consumer architecture, including consumer groups, offsets, retries, dead-letter handling, ordering, partitioning, and scalability. Experience with API-based data consumption, ideally using Spring Boot / Java-based services. Strong understanding of batch, micro-batch, and real-time streaming architectures. Experience working in complex enterprise environments with multiple systems, vendors, platforms, and governance processes. Strong understanding of non-functional requirements including performance, scalability, resilience, security, observability, and operational support. Required Technical Skills Cloudera CDH/CDP, ideally on AWS or hybrid cloud environments Apache Kafka or AWS equivalents such as MSK, Kinesis, EventBridge, or similar Spark / Spark Streaming HBase / Cassandra / NoSQL data stores Hive / Impala Apache NiFi / ingestion frameworks Apache Airflow Orchestrations Apache Flink or equivalent stream processing technologies Java / Spring Boot / Spring Kafka Python and PySpark REST APIs and service-based data consumption Change Data Capture and event-driven integration patterns Data lake, ODS, and distributed storage design Cloud data platform design, preferably on AWS Desirable Experience Financial services or banking experience. Experience with regulated, secure, enterprise-scale data platforms. Experience presenting to architecture governance boards. Exposure to enterprise data governance, lineage, metadata, and data quality tooling. Experience with DevOps, CI/CD, automated testing, and modern engineering delivery practices. Experience with cloud-native data services on AWS.

What you will do

Own the end-to-end solution architecture for large-scale distributed data, streaming, and data integration solutions. Design solutions across Cloudera CDH/CDP, data lakes, operational data stores, event streaming platforms, and real-time data pipelines. Architect and document solutions using technologies such as Hive, Impala, HBase, Spark, NiFi, Flink, Kafka, and equivalent AWS services. Design Kafka-based streaming applications, including event ingestion, topic design, consumer patterns, error handling, replay, scalability, and resilience. Define solution patterns for Spring Kafka consumers, ingestion into HBase, and consumption through Spring Boot / API-based services. Provide architecture leadership across data ingestion, streaming integration, transformation, storage, APIs, and downstream consumption. Work with engineering teams to ensure solutions are deliverable, scalable, secure, supportable, and aligned to enterprise architecture principles. Review technical designs produced by engineering teams and ensure alignment with the approved solution architecture. Identify technical risks, dependencies, assumptions, non-functional requirements, and design trade-offs. Support delivery planning by helping break solutions into iterative delivery increments and sprint-level outcomes. Engage with business stakeholders, programme teams, enterprise architects, engineering leads, and governance forums. Build, represent and own solution designs(Architecture Summaries and High level designs) to architecture review boards and senior technical stakeholders where required. Develop and promote architectural patterns and best practices and engineering standards across big data, streaming, integration, APIs, and cloud-based data platforms.

You are good to apply if you are

Irish or EU or British Citizen, or holding a Stamp 4 or Stamp 1G permit. Residing in the specified job location currently Why Should You Apply? Aside from a highly competitive day rate/salary, this is a role that will provide a great balance of support and challenge for someone who wants to take the next step in their career.

Interested? Apply here

If you feel you’ve got the right skills and experience, we would absolutely love to hear from you! Fill out the form alongside and do not forget to attach your CV.