Lead Data Engineer at Risk Labs

Who is Risk Labs? Risk Labs is the foundation and core team whose mandate is to build and grow the UMA and Across protocol ecosystems.

What is UMA? UMA's optimistic oracle (OO) can record any verifiable truth or data onto a blockchain. UMA Purpose: UMA is the canonical source of truth that blockchains use to verify real world data. UMA Vision: UMA enables any verifiable truth to be recorded on-chain, trustlessly.

What is Across? Across is a cross-chain bridge for L2s and rollups secured by UMA’s OO. Across' purpose: Across is to fulfill crypto’s potential by making blockchains more usable, more accessible and more efficient. Across’ Vision: Intents are the standard in x-chain interoperability, and are settled by Across.

We are looking for a data engineer to help design and scale our data infrastructure. We are a data-driven organization and view the data pipelines that influence these decisions as essential team infrastructure. Your role will include architecting and building that infrastructure as well as working with the data analysts who rely on the pipeline. You're a healthy mix of wanting to be in the weeds engineering through solutions, appreciate the value of project management and prioritization, while also seeing that you have a knack for leading people and teams to do their best work individually and as a collective. We believe that many different candidates could be a good fit for this role. Maybe you have a background in building data pipelines at a TradFi or technology firm and looking for your first blockchain related job. Perhaps you have focused mainly on backend development but have a deep familiarity with how blockchain data is organized and processed. Most importantly, we are looking for someone who has deep expertise in building out ETL pipelines and working with data.

Responsibilities

• Indexing complex onchain data: Design systems that index complex onchain data for ease of use and speedy access. Gas efficient protocols rely on indexing to keep user experiences snappy, pleasant, and cheap.
• Data engineering: Design and develop large-scale data pipelines to provide the data which drives our understanding of users and our protocol’s real-world performance.
• Code review and mentorship: Write code in a highly collaborative open source ecosystem. As much of your day will be spent reviewing and designing code as it will be writing new code. We take pride in writing clean code.
• Leading and Scaling teams: Manage priorities, scope deliverables, and project manage alongside various stakeholders. Be willing to think strategically about team coaching and structure, while also getting your hands in the weeds with data engineering work.
• Data Analysis and Research: Translate business problems into scalable engineering solutions, based on a strong intuition and an ability to see beyond just technical requirements but a more holistic picture based on analysis, research, data, and the data engineering knowledge.
• Product mindset: naturally curious to dive deep and understand what the business needs, collaborating with product management, data science, engineering, marketing, etc to drive impact through data

Requirements

• 4+ years full-time experience in Data Engineering at a software, financial services, or related technology organization
• 2+ years of experience with databases and data pipelines
• 1+ years of experience managing people or teams (bonus if you’ve been part of leading teams through scale)
• Outstanding critical thinking skills;
• Low ego, high curiosity and comfort in being wrong
• Strong coaching and communication skills
• Excellent organizational skills, attention to detail, and time management
• Demonstrated ability to learn new tech and write secure and clean code
• Passion for blockchain technology, cryptonomic protocol design, game theory, and decentralized finance
• Growth mindset; a desire to learn from and mentor those around you