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Mid-level data role in metro with broad skillset requirements increases applicant competition.
Core cloud data engineering skills transfer across industries though financial domain knowledge is desirable.
Multiple mandatory technical requirements (5+ years, GCP, Python, Golang, Apigee) indicate high filter strictness.
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Lead design, implementation, and optimization of a cloud-based financial data distribution platform using GCP technologies.
Collaborate with cross-functional teams to refine designs, build new components, and migrate existing pipelines to a modern, componentized stack.
Drive continuous improvement initiatives focusing on pipeline performance, automation, and customer satisfaction in a global investment management context.
Minimum 5 years experience with cloud data distribution and large-scale, complex data pipeline development.
Proficiency in Python, Golang, SQL, Apigee, and hands-on experience with GCP services including database, serverless, containerization, and API management.
Bachelor's or Master's degree in Computer Science or related field.
Work Experience Required: 5+ years; Experience with generative AI approaches, API-first design, and agile development methodologies.
Experienced in global or multinational team environments, comfortable collaborating across functions.
Skilled at translating complex requirements into scalable, reliable data distribution solutions emphasizing simplicity, automation, and observability.
Preferred background with financial market data, index data models, and familiarity with agentic RAG solutions and data cataloguing integrations.