Experience with SQL, PubSub, API-based, and event-sourced data processing., Expertise in translating business use cases into data models for analysis., Knowledge of cloud-based infrastructure and data services such as GCP, AWS, or Azure., Ability to adapt quickly to changing business needs and conditions..
Key responsibilities:
Drive data architectural patterns and platform design for the data platform.
Build and maintain ELT models and cloud infrastructure for data warehousing.
Lead the adoption of data hygiene and best practices across the organization.
Collaborate with stakeholders to create a shared ecosystem for data usage and analysis.
Report This Job
Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
Anchorage Digital makes it simple and secure for institutions to build products and gain exposure to digital assets as the first federally chartered digital asset bank. With secure custody at its core, Anchorage is the premier partner for institutions and corporations. Anchorage offers financial solutions for today and tomorrow. Learn more at anchorage.com.
Anchorage Digital was founded in 2017 to advance institutional participation in digital assets. Anchorage began as the leader in digital asset custody, solving private key security, and expanded its offerings to make every form of institutional participation as seamless as possible through Lending, Trading, Financing, Staking, and Governance, all integrated with secure, regulated custody. Today, Anchorage brings the best of modern security engineering to institutional custody and banking.
Anchorage Digital Bank received the first federal banking charter for a digital bank and converted from its South Dakota trust charter in January 2021.
Anchorage Digital raised $350 million in a December 2021 Series D funding round that valued Anchorage at over $3 billion. Led by global investment firm KKR, other participants included Goldman Sachs, Andreessen Horowitz, Apollo credit funds, funds and accounts managed by BlackRock, Blockchain Capital, GIC, Lux Capital, PayPal Ventures, Thoma Bravo and Wellington Management. Its advisors include Stanley Druckenmiller, Kevin Warsh, Max Levchin, and Elad Gil.
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.
Technical Skills:
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.
Complexity and Impact of Work:
Lead adoption of Data hygiene and Data best practices.
Manage large scale data sets in both streaming and batch.
Organizational Knowledge:
Collaborate with stakeholders to create an ecosystem for shared consciousness.
Communication and Influence
Contribute to analytical design patterns
You may be a fit for this role if you:
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.
Although not a requirement, bonus points if:
Experience with automated metadata management.
Experience with lineage management.
Being part of the 200 zettabyte global Data volume excites you.
Required profile
Experience
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.