About the company
The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains.
Job Summary
In this role, you’ll:
📍Collaborate with clients to understand their business requirements, technical environments, and strategic objectives, and translate these needs into effective solutions using Chainalysis products and services 📍Architect scalable, secure, and high-performance blockchain analytics solutions that leverage Chainalysis technology 📍Develop comprehensive technical designs and implementation plans 📍Provide technical guidance and leadership to project teams throughout the implementation lifecycle, ensuring best practices are followed and solutions are delivered on time and within scope 📍Lead the integration of Chainalysis solutions with clients' existing systems, ensuring seamless interoperability and data flow 📍Create and maintain detailed documentation of solutions, including architecture diagrams, implementation guides, and best practices 📍Train and enable clients and partners on Chainalysis products and solutions to ensure successful adoption and utilization 📍Stay current with the latest blockchain technologies, industry trends, and Chainalysis product updates to provide informed recommendations to clients
We’re looking for candidates who have:
📍Proven experience as a solution architect, customer-facing software engineer, or similar role, with a track record of successfully delivering complex technical solutions 📍Demonstrated ability to build and maintain strong client relationships; prior experience in a client-facing role is essential 📍Proficiency in application development & relevant programming languages, such as Python & Typescript 📍Strong problem-solving skills, the ability to analyze and interpret complex data sets, and develop analytics 📍Experience in building, optimizing, and managing data pipelines for large-scale datasets with relevant technologies, such as Spark 📍Strong understanding of deployment architectures & associated technologies, including both cloud and on-premises environments 📍Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholder 📍A Bachelor’s degree or greater in Computer Science, Engineering, or a related field
