Senior Solution Architect - Big Data & Streaming (remote)

Job description

You will own the solution architecture of a bank's distributed data platform: enterprise data lake, operational datastore and Kafka-based streaming, built on Cloudera CDP on AWS. The role combines architecture leadership across delivery teams with hands-on technical credibility.

What you will be responsible for

- End-to-end solution architecture for large-scale data, streaming and integration solutions (ingestion, processing, storage, consumption)

- Architecture designs presented to and approved by architecture review boards

- Design reviews of engineering teams' work and alignment with the target architecture

- Technical risks, dependencies, non-functional requirements and design trade-offs made explicit

- Delivery plans broken into iterative increments together with engineering teams

- Architecture patterns, engineering standards and best practices for the data platform

What we expect from you

- 10+ years in IT, of which 5+ years in solution, technical or lead architecture roles

- Proven architecture of streaming or real-time applications on Kafka, including consumer design (consumer groups, offsets, retries, dead-letter handling, ordering, partitioning)

- Solutions designed on Cloudera CDH/CDP or an equivalent enterprise-scale distributed data platform

- Hands-on knowledge of Spark, Flink, Hive or Impala, and of HBase, Cassandra or similar

- API and service integration (Java, Spring Boot, REST); AWS is a strong plus

- Experience in banking or another regulated environment is an advantage

- English at C1 level (B2 minimum)

This is not a role for BI, reporting or purely conceptual data architecture profiles.