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Data Platform Architect
2 months ago
Figure Markets is a pioneering fintech company that is revolutionizing the financial industry through blockchain technology. Our mission is to create a decentralized custody marketplace for a wide range of assets, including cryptocurrencies, stocks, bonds, and more.
We are committed to providing our members with best-in-class leverage, margining, and liquidity, as well as extensive borrowing options and unique investment opportunities. Our platform is built on the Provenance Blockchain, which embodies the principles of truth over trust and provides a foundation for Figure Markets to bring transparency and efficiency to a decentralized world.
Our TeamFigure Markets is backed by leading venture capital firms and strategic partners, including Jump Crypto, Pantera, Distributed Global, Faction Lightspeed, NewForm Capital, and CMT Digital. Our team is comprised of seasoned entrepreneurs and operators from traditional finance, fintech, and decentralized finance (DeFi) backgrounds, including Mike Cagney and June Ou.
About the RoleWe are seeking an experienced and independent data platform engineer to join our Engineering team. As a key member of our team, you will work closely with various business functions to understand Figure Markets' analytic, data science, and reporting needs and develop data products that address those needs. You will contribute to the development of our data architecture and have the opportunity to shape the direction of our data engineering efforts.
Key Responsibilities- Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery, and other tools to build robust and efficient data pipelines.
- Expand and optimize our data and data pipeline architecture, as well as optimize data flow and collection for cross-functional teams.
- Collaborate with project leads and other software engineers across multiple teams.
- Be a leader and apply your technical skills to solve real-world problems.
- BS degree in Computer Science or a related technical field, or equivalent practical experience.
- 6+ years of proven working experience as a data engineer.
- 5+ years of writing production-quality Python code.
- 3+ years of experience with Spark, either in Python or in Scala. Bonus points for Spark on EMR, Dataproc, or Kubernetes.
- Working knowledge of Google Cloud tools (compute, cloud storage, GKE, GCR, AutoML, etc.).
- Expertise in building and optimizing data pipelines using Kafka (preferred), Kinesis, or other event bus.
- Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
- Comfort with and experience working within CI/CD processes and tools and software development practices.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL and NoSQL databases, including BigQuery (preferable), MySQL/MariaDB, Postgres, or Cassandra.
- Expertise in data modeling for data science, reporting, and analytics, including dimensional and transactional models.
- Ability to thrive in a fast-paced growing company.
- Competitive salary and growth opportunities.
- Company quarterly performance-based bonus.
- Equity stock options package.
- Employer-funded comprehensive health, vision, dental insurance, and wellness program for employees and their dependents.
- Employer-funded life and disability insurance coverage.
- Company HSA, FSA, Dependent Care, 401k, and commuter benefits.
- Up to 12 weeks paid family leave.
- In-office, remote, and hybrid work location options.
- Home office and technology stipend for those working outside of a traditional office more than 75% of the time.
- Flexible time-off plan to empower employees to take the time off that they want and need.
- Continuing education reimbursement.
Figure Markets is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and diverse work environment that reflects the communities we serve.