Senior Data Engineer, Data Cloud - Remote

Overview

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in the UK, Denmark, Canada, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes.

In Short

• Design, develop, and optimize high-performance, scalable data platforms, with a strong focus on real-time streaming data processing, large data volumes, and cloud infrastructure.
• Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases.
• Design and build frameworks and abstractions to accelerate the development of data pipelines while embedding data engineering best practices.
• Deploy cloud infrastructure at scale, implement and maintain infrastructure automation and self-service, and creating robust CI/CD pipelines.
• Establish and maintain observability, security, and data governance solutions to ensure high quality, efficiency, and reliability of data pipelines.
• Help define the technical vision of the team/org, articulate how our data platform and architecture could evolve.

Requirements

• 6+ years of experience as a Data Platform Engineer or Software Engineer or Data Infrastructure Engineer, with hands-on expertise in building and maintaining cloud-based data platforms at large scale.
• Passion for leading/contributing towards the technical vision of the team/org, strong ownership of mission-critical systems, dedication to honing their craft while mentoring others.
• Expertise in building and maintaining streaming data pipelines using Apache Flink, as well as its underlying infrastructure and deployment.
• Solid experience with AWS services, a good understanding of cloud architecture, and proficiency with Terraform for provisioning and managing cloud infrastructure.
• Deep understanding of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg/Paimon, StarRocks, Trino, and proficient with Python/Java and SQL.
• Experience with networking and security concepts within AWS, including VPCs, subnets, routing, security groups, IAM, etc.

Benefits

• Work in a global organization with talented teammates.
• Be part of an innovative team that is at the forefront of blockchain technology.
• Opportunity to influence technical vision and best practices.
• Diversity and inclusion commitment from the organization.