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Fidelity InvestmentsPosted 1 week ago

Digital Asset Data Lead

$140,000–$285,000 year

On-siteBoston, Massachusetts, United States

Full TimeSenior LevelEnterprise

Job Summary

Design, ingestion, modeling, and delivery of data across Fidelity Digital Asset Management and partner organizations to enable investment, research, trading, risk, operations, and product teams to derive insight from complex datasets. Establish frameworks, standards, and architecture to transform fragmented structured and unstructured data sources, including on-chain activity, market data, protocol data, and third-party datasets, into trusted, accessible, and analytically useful assets. Partner with engineering and enterprise data organizations to leverage existing expertise, capabilities, and datasets, identifying or designing solutions for new data requirements. This role requires deep data engineering expertise combined with strong domain knowledge of digital assets and blockchain ecosystems. The successful candidate will demonstrate experience in data modeling, ETL/ELT pipelines, data quality, and metadata management, along with a strong understanding of modern cloud data architectures and tooling. Experience translating business requirements into scalable data solutions and working with large, complex, and unstructured datasets is essential. Experience within digital assets, blockchain, fintech, market data, or quantitative investment environments is preferred. Fidelity Digital Asset Management delivers a growing suite of digital asset investment solutions for retail, intermediary, institutional, and on-chain clients. The position is part of a transition to a full-time onsite working model, with current onsite expectations evolving across regions and roles.

Required Qualifications

  • deep data engineering expertise
  • strong domain knowledge of digital assets and blockchain ecosystems
  • Experience in data engineering
  • Experience in data management
  • Experience in analytics engineering
  • Experience in related disciplines
  • Experience building and scaling enterprise data platforms
  • Deep expertise in data modeling
  • Deep expertise in ETL/ELT pipelines
  • Deep expertise in data quality
  • Deep expertise in metadata management
  • Strong understanding of modern cloud data architectures
  • Strong understanding of data engineering tooling
  • Demonstrated experience translating business requirements into scalable data solutions
  • Experience working with large, complex, and unstructured datasets
  • 100% onsite presence

Desired Qualifications

  • Experience within digital assets
  • Experience within blockchain
  • Experience within fintech
  • Experience within market data
  • Experience within quantitative investment environments

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