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Tier-1 brand, popular Data Engineer title, and likely metro location increase applicant competition.
Payments-specific ISO20022 and GCP/streaming expertise limits cross-industry transferability.
Multiple mandatory GCP, streaming, payments domain and tooling requirements imply strict technical shortlisting.
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Lead and manage a cross-functional data engineering team focusing on payment systems architecture and real-time data processing.
Own design and implementation of scalable, low-latency data architectures using BigQuery, Spanner, Kafka, Flink, and Dataflow within the payments domain.
Drive legacy system migration to GCP and optimize data pipelines for performance and cost-efficiency in alignment with business and product roadmaps.
Experience leading data engineering teams and managing Agile delivery processes.
Technical expertise with GCP technologies including BigQuery, Spanner, Kafka, Flink, Dataflow, and CI/CD tools such as Jenkins, Harness, and Terraform.
Domain experience in payments, including knowledge of ISO 20022 financial data standards and payment formats like BACS and CHAPS.
Work Experience Required: Not explicitly mentioned in the JD.
Proven ability to operate at both individual contributor and leadership levels in high-performing, cross-functional teams within complex payment environments.
Strong architectural and strategic planning skills for scalable, real-time data systems in a financial services context.
Experience collaborating closely with business stakeholders, product managers, and architects to align technical solutions with business objectives.