Senior Data Engineer, Data Cloud

In this role, you’ll

• Help define the technical vision of the team/org, articulate how our data platform and architecture could evolve
• Design, implement, and optimize our high-performance, scalable data serving platform that enables data querying and consumption across the organization and external facing data products
• Design, implement, and optimize our high-performance, scalable data storage and transformation platform that enables both batch and stream processing with 100+ million updates per day on datasets > 100 billion rows
• Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases
• Build batch and streaming data pipelines for core blockchain datasets widely used across the company
• Deploy cloud infrastructure at scale with enterprise-grade reliability, implement and maintain infrastructure automation and self-service, and create robust CI/CD pipelines
• Establish and maintain observability, security, and data governance solutions to ensure high quality, efficiency, and reliability of data pipelines

We’re looking for candidates who have

• 6+ years of experience as a Data Engineer or Software Engineer or Infrastructure Engineer, with hands-on expertise in streaming data at scale.
• Experience in building and maintaining both batch and streaming data pipelines using Apache Spark/Apache Flink, as well as deep understanding of data modeling best practices
• Expertise with AWS services, cloud architecture, fault-tolerant distributed data systems, and proficiency with Terraform for provisioning and managing cloud infrastructure
• Deep understanding of modern data lakehouse architectures and ecosystem such as Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, StarRocks, Clickhouse, and proficient with Python (or similar) and SQL.
• 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
• Experience building tools and frameworks to accelerate the development of data pipelines, and familiarity with data governance, data quality, and observability best practices

Nice to have Experience

• Exposure to or interest in the cryptocurrency technology ecosystem
• Experience working with different blockchain technologies

Technologies we use

• Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium, StarRocks/Clickhouse
• AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS, etc.

AI at Chainalysis

AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.

AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.