Senior Cloud Architect
Credmark curates blockchain data for developers, explorers, and quants. They provide simple, powerful APIs, including a Token API, Portfolio API, and DeFi API, to access historical and real-time data. They also offer a transformation platform for building custom data models.
Funding
About Credmark
Credmark is a data provider specializing in decentralized finance (DeFi). They curate and provide blockchain data through a suite of products designed for developers, data explorers, and quants. Their offerings include a free Token API for granular token data (prices, liquidity, holdings), a Portfolio API to trace wallet activity and risk, and a comprehensive DeFi API that allows users to run over 400 existing data transformations or build their own. For those needing direct access, Credmark provides raw blockchain data via the Snowflake Marketplace. The platform supports multiple chains including Ethereum, Polygon, BNB, Avalanche, Arbitrum, Optimism, and Fantom. A key feature is the transformation platform, which allows users to write custom models in Python, leveraging curated data sets and a library of pre-built models to accelerate development.
Skills
About the Role
You will write software and remain hands-on while owning high-level architecture decisions. You will design and maintain data ETL pipelines and data lake schemas, build APIs for data access, evaluate and recommend technologies, produce documentation, and provide technical guidance to engineering teams. You will work with models and blockchain technologies and help operationalize large data systems.
Requirements
- 5+ years of experience
- Extensive software development experience
- Experience designing complex systems in cloud environments
- Experience handling large data pipelines and efficient data stores
- Knowledge of databases
- Knowledge of queuing systems
- Knowledge of caching
- Familiarity with blockchain technologies
- Experience working with model builders
- Experience operationalizing models and data systems
- Ability to describe past major failures and learnings
Responsibilities
- Create and maintain data ETL pipelines
- Create and maintain data lake schemas
- Create and maintain API features for users to access data
- Design overall system architecture
- Evaluate and recommend technologies
- Document system designs and decisions
- Provide guidance for engineering teams
- Work hands-on with models
- Work with blockchain technologies