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Tier-1 brand, metro location, and a popular mid-level data platform role increase applicant competition.
Strong investment/asset-management domain and regulated data requirements reduce cross-industry transferability.
Explicit 6–8 years, investment domain expertise, and a long mandatory tech stack make screening strict.
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Own end-to-end data platform capabilities for Schwab Asset Management covering data ingestion, domain modeling, platform frameworks, APIs, and visualization/UI layers supporting investment, operational, analytical, and regulatory use cases.
Design, build, and standardize reusable data platform frameworks, complex cloud-native ETL/ELT pipelines, and robust data models within the Investment Data domain (including holdings, transactions, portfolios, risk, and performance).
Lead technical standards, CI/CD, automation, and collaborate with architects and stakeholders to ensure scalable, governed, business-aligned data solutions across SAM Data ecosystem.
Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
6–8 years of experience building cloud-based data platforms and enterprise data solutions.
Strong experience in Investment or Asset Management data domain.
Hands-on expertise with Snowflake, Google Cloud Platform services (GCS, Cloud Run, Cloud Functions, Pub/Sub, Composer, Cloud SQL), Python (including FastAPI or Flask), distributed processing frameworks (Spark, Beam, or Flink), containerization (Docker), and infrastructure as code (Terraform or GCP Deployment Manager).
Experienced senior technical contributor with leadership skills, capable of defining engineering standards and mentoring data engineers across teams.
Deep domain expertise in investment data modeling and regulated data environments with strong influence on platform strategy.
Proven ability to design scalable, secure data APIs and interactive Python-based visualization tools supporting complex investment analytics and reporting.