Senior Data Engineer, Data Cloud

Chainalysis; Ontario; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading blockchain data firm is seeking a Senior Data Engineer to join their Data Cloud team in Canada. You will design and optimize high-performance data platforms, focusing on real-time data processing and cloud infrastructure. Candidates should have extensive experience in building cloud-based data solutions, with knowledge of streaming data pipelines and a passion for contributing to the technical vision of the team.

Benefits

Diversity and inclusion initiatives

Flexible work environment

Continuous learning opportunities

Qualifications

• 6+ years of experience as a Data Platform Engineer or similar.
• Passion for technical vision and ownership of systems.
• Experience with modern data lakehouse architectures.

Responsibilities

• Design and optimize high-performance data platforms.
• Integrate Data Cloud with relational and noSQL databases.
• Establish observability and security solutions.

Skills

Streaming data pipeline expertise

Cloud-based data platform management

Data engineering best practices

Data governance

CI/CD pipeline implementation

Tools

Apache Flink

AWS services

Terraform

Kafka

Python

Java

SQL

Job description

Location

Canada, Ontario

Employment Type

Full time

Location Type

Remote

Department

R&D Data Intelligence

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.

We’re looking for a Senior Data Engineer to join our Data Cloud team. This group accelerates innovation & helps unlock new business lines, by empowering anyone at Chainalysis to quickly and reliably discover, access, analyze, and build on top of any and all data. You’ll be a key player in creating and optimizing our data platform and data processing systems. If you’re passionate about building scalable platforms to enable next-gen real-time streaming data applications, establishing frameworks for data governance and data engineering best practices, deploying cloud infrastructure at scale, we want you to join our talented and growing team!

In this role, you’ll:

• 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

We’re looking for candidates who have:

• 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.

Nice to have Experience:

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

Technologies we use:

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

About Chainalysis

Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.

You belong here.

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don’t hesitate to let us know. You can learn more. We can’t wait to meet you.