Figment is the world’s leading provider of blockchain infrastructure. We provide the most comprehensive staking solution for our over 500+ institutional clients including exchanges, wallets, foundations, custodians, and large token holders to earn rewards on their crypto assets. These clients rely on Figment’s institutional staking service including rewards optimization, rapid API development, rewards reporting, partner integrations, governance, and slashing protection. Figment is backed by industry experts, financial institutions and our global team across twenty three countries. This all leads to our mission to support the adoption, growth and long term success of the Web3 ecosystem.
We are a growth stage technology company – looking for people who are builders and doers. People who are comfortable plotting their course through ambiguity and uncertainty to drive impact and who are excited to work in new ways and empower a generative company culture.
Responsibilities
- Lead the design and implementation of reliable data pipelines and data storage solutions.
- Lead the implementation of data modeling and integrate technologies according to project needs.
- Manage specific data pipelines and oversees the technical aspects of data operations.
- Ensure data processes are optimized and align with business requirements.
- Identify areas for process improvements and suggests tools and technologies to enhance efficiency.
- Continuously improve data infrastructure automation, ensuring reliable and efficient data processing.
- Lead the development and maintenance of data pipelines and ETL processes using technologies such as Dagster and DBT to ensure efficient data flow and processing.
- Automate data ingestion, transformation, and loading processes to support blockchain data analytics and reporting.
- Utilize Snowflake data warehousing solutions to manage and optimize data storage and retrieval.
- Collaborate with Engineering Leadership and Product teams to articulate data strategies and progress.
- Promote best practices in data engineering, cloud infrastructure, networking, and security.
Minimum Qualifications
- Experience with the data transformation tool DBT
- Having led the design and implementation of complex data transformations using advanced DBT models, materializations, and configurations to streamline data workflows and improve performance.
- Having led the optimization and troubleshooting of DBT pipelines for scale, ensuring that transformations run efficiently in production environments, handling large datasets without issues.
- Experience programming in Python
- Having led the design and implementation of scalable, high-performance applications by leveraging Python's advanced libraries and frameworks (e.g., Pandas, FastAPI, asyncio), ensuring clean code, modularity, and maintainability.
- Having led the optimization of code for performance and memory usage through profiling and refactoring, ensuring efficient execution, particularly when handling large datasets or real-time processing tasks.
- Experience with the data orchestration tool - Dagster or Airflow
- Having led the design and orchestration of complex DAGs to manage dependencies, triggers, and retries for data workflows, ensuring reliable and efficient pipeline execution.
- Having led the implementation of monitoring and alerting for pipeline failures or performance bottlenecks, using observability tools integrated with Dagster/Airflow to maintain robust pipeline health.
- Experience with a data warehousing solution such as Snowflake, BigQuery, Redshift, or Databricks.
- Having led architecting and optimizing warehouse environments for performance, including designing partitioning strategies, clustering keys, and storage optimizations for cost-effective scaling.
- Having led the implementation of security and governance policies within the wareshouse, including data encryption, access control, and audit logging to meet compliance and security best practices.
- Extensive data engineering experience, including building and managing data pipelines and ETL processes.
- Experience developing CI/CD pipelines for automated data infrastructure provisioning and application deployment.
- Experience in managing infrastructure across AWS, with a focus on performance and security.
Nice to Have
- Experience with Golang, Temporal, Monte Carlo.
- Knowledge of decentralized consensus mechanisms, including Proof-of-Work and Proof-of-Stake.
- Experience in developing custom Terraform modules for data infrastructure.
One of Figment’s core principles is “Making the Invisible Visible” - ensuring transparency and information sharing in all communication. Figment is committed to transparency regarding pay, benefits, and other compensation types for all internal roles as well as all roles being hired for.
Base Salary: The CAD base salary range for this position is CAD $170,000 - $190,000. The US base salary range for this position is USD $170,000 - $190,000. This range reflects base salary only, and does not include additional compensation or benefits. For candidates in other countries, the pay range will be disclosed upon your first interview with Figment (being a globally remote company, the list of salary ranges would simply be too long to note here!). The range displayed reflects the minimum and maximum range for a new hire across all Canada or the US. A candidate’s specific pay within the range will be determined by various factors including job-related skills, relevant education, and training.
Benefits: All employees of Figment receive the following competitive benefits. For candidates beyond Canada and the US, benefits will be outlined during your first interview with Figment.
- 100% remote-first environment, with co-working spaces in our employee “hubs” across the globe for those who enjoy a hybrid model
- 4 weeks of PTO that kick in day one, with an additional 1 week of flex days
- Extended company-paid health benefits that kick in day one
- Best in class parental leave and flexible arrangements
- A home office stipend to create a space that you enjoy working in
- Monthly Wifi reimbursement
- A yearly Learning & Development budget
- 401K (US) or RRSP match (Canada)
- Stock Options in the company
- Competitive bonus (based on company performance) that is distributed bi-annually - we believe that the company’s success should be shared with our employees often
- For roles listed within the Sales Department, there is instead a competitive commissions structure which will be outlined during your first interview with Figment
- Annual onsite company gatherings and retreats to inspire team bonding, collaboration, and fun!
- A culture of honesty, professionalism and risk taking in a high-growth environment
See here for Figment's Privacy Policy and California Employee Privacy Policy.
At Figment, we have a thorough hiring process to verify the identity of all job candidates. This includes checking documents, conducting in-person interviews, biometric authentication and completing background checks. Candidates must pass all these steps to be considered for a job with Figment. Anyone who provides false information or tries to skip these steps will be disqualified from the hiring process immediately.
Figment is a remote-first company operating with a global footprint across 12 countries. Are you interested in helping us build the future of digital assets?
Top Skills
What We Do
Figment: Building Web 3
Figment’s purpose is to build a better Internet by increasing usage of the next generation of Proof of Stake blockchains.
These efficient blockchains give people greater control of their data, more privacy, and increase financial inclusion. By eliminating intermediaries they also limit the power of centralized data monopolies, rent seeking financial institutions and anti-social algorithms.
We bring our mission to reality by helping investors stake their tokens; earn yield and participate in securing the blockchain. Our Hubble and Prime applications as well as our governance expertise allow token holders to analyze, monitor and make informed decisions. We build Web 3 developer communities via our Learn education program and then make it simple for these developers to launch applications and manage smart contracts via our DataHub platform. And finally by building and operating The Graph based indexers we enable the efficient search and querying of blockchain data.
