Digital Asset Data Lead

Fidelity Investments•Boston, MA

4d•$140,000 - $285,000•Onsite

About The Position

The Digital Assets Data Lead is responsible for building and scaling the data foundation that powers our digital asset management business. This role owns the design, ingestion, modeling, management, and delivery of data across Fidelity Digital Asset Management (FDAM) and our partner organizations, enabling FDAM investment, research, trading, risk, operations, distribution and product teams to derive insight from complex digital asset datasets. This role serves as FDAM’s primary authority on how our data should be sourced, organized, modeled, and governed, ensuring the right data is available for the right use cases across the business.

Requirements

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

Nice To Haves

Experience within digital assets, blockchain, fintech, market data, or quantitative investment environments.

Responsibilities

Owns the design, ingestion, modeling, management, and delivery of data across Fidelity Digital Asset Management (FDAM) and partner organizations.
Ensures the right data is available for the right use cases across the business.
Establishes the frameworks, standards, and architecture required to transform fragmented structured and unstructured data sources into trusted, accessible, and analytically useful assets.
Partners with engineering and enterprise data organizations to leverage existing expertise, capabilities and existing datasets, and identify or design solutions for new datasets.