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Metro mid-level data role with common skills but niche financial distribution requirements, driving moderate competition.
Core data engineering skills transfer, but financial market data domain knowledge increases sensitivity moderately.
Explicit 5+ years, GCP/Golang/Apigee and domain experience make screening relatively strict.
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Lead design, implementation, operation, and optimization of a financial data distribution platform using GCP technologies.
Collaborate with cross-functional teams to develop and migrate to a modern componentized data distribution stack and implement incremental value delivery.
Drive continuous improvement initiatives enhancing pipeline performance and customer satisfaction for global clients.
5+ years of experience focused on data distribution in cloud environments.
Strong expertise in GCP products including database, serverless, containerization, and API.
Bachelor's or Master's degree in Computer Science or related field.
Proficiency in Python, Golang, SQL, and Apigee; experience with generative AI approaches and API-first pipeline development.
Experienced in leading large-scale, complex data pipeline development and deployment in global or multinational teams.
Technical mindset prioritizing simplicity, automation, observability, and leveraging generative SDLC methodologies.
Familiarity with financial market data, user-entitlement management, and agile delivery of incremental value.