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Tier-1 fintech brand plus broad GCP/Kafka demand, but senior 10+ requirement reduces candidate density.
Post-trade regulatory and enterprise data governance focus makes background fit highly industry-specific.
Explicit 10+ years and mandatory GCP, Kafka, regulatory experience create strict shortlisting filters.
Own solution architecture for Post Trade regulatory reporting data flow, from trade capture through lakehouse layers to reporting and reconciliation.
Design and deliver data architecture on GCP lakehouse, focusing on event ingestion pipelines and data modeling adhering to enterprise standards.
Produce and maintain architectural artefacts for governance, collaborate across teams on data contracts, governance, and operational needs.
Minimum 10 years in data engineering and architecture with hands-on cloud data solution delivery, including ownership of end-to-end regulated environment projects.
Direct experience with Post Trade or regulatory reporting data (e.g. MiFIR, EMIR, SFTR) including trade lifecycle, reconciliation, and regulatory requirements.
Deep hands-on experience with GCP data platform components, including BigQuery, Cloud Composer, Dataflow, Pub/Sub, Dataplex, and security features.
Experience designing and operating Kafka at enterprise scale with governed schema registries, and working knowledge of regulated data governance frameworks (FCA, GDPR or equivalent).
Experienced architect accustomed to designing and delivering complex, regulated Post Trade and financial data solutions on GCP with enterprise-scale event streaming.
Able to balance technical architecture rigor with pragmatic decisions under ambiguity and regulatory constraints, producing formal artefacts and design reviews.
Strong collaborator working across IT and business, comfortable influencing standards, governance, and mentoring teams rather than coding hands-on.
