Member of Technical Staff, Data Platform

At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto.

Founded in 2017, Anchorage Digital is a regulated crypto platform that provides institutions with integrated financial services and infrastructure solutions. With the first federally chartered crypto bank in the US, Anchorage Digital offers institutions an unparalleled combination of secure custody, regulatory compliance, product breadth, and client service. We’re looking to diversify our team with people who are humble, creative, and eager to learn.

We are a remote friendly, global team, but provide the option of working in-office in New York City, Sioux Falls, Porto, Lisbon, and Singapore. For our colleagues not located near our beautiful offices, we encourage and sponsor quarterly in-person collaboration days to work together and further deepen our Village.

A successful member of this team would help bridge business and technical uses of data, creating an easy to use platform for Data and Data Tooling for Engineering, Reporting, Analytics, and Data Science use-cases. This team is responsible for the creation of large scale data system for storing and analyzing traditional financial Data as well as cryptocurrency and market data.

We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the team.

• Drive data architectural patterns and platform design.
• Build and Maintain ELT models for creating warehouses and usable Data sets.
• Build and Maintain Data Platform cloud infrastructure.

• Lead adoption of Data hygiene and Data best practices.
• Manage large scale data sets in both streaming and batch.

• Collaborate with stakeholders to create an ecosystem for shared consciousness.

• Contribute to analytical design patterns

• Experience processing a variety of data sources: SQL, PubSub, API-based, Event-sourced state into warehoused data sets.
• Expertise in translating business use cases into data models to support analysis.
• Knowledge of cloud-based infrastructure and data services (GCP, AWS, Azure) and data tooling.
• The ability to move quickly and pivot as business needs and conditions change.

• Experience with automated metadata management.
• Experience with lineage management.
• Being part of the 200 zettabyte global Data volume excites you.