Senior Data Engineer, Data Cloud

Chainalysis Inc.; Canada; Remote; CAD 80,000 - 130,000; Full time

Job summary

An innovative firm is seeking a Senior Data Engineer to join their Data Cloud team. This role is pivotal in designing and optimizing high-performance data platforms focused on real-time streaming and cloud infrastructure. You will collaborate with talented individuals to establish frameworks for data governance and engineering best practices, ensuring high-quality data pipelines. If you are passionate about building scalable platforms and want to be part of a dynamic team at the forefront of blockchain technology, this opportunity is perfect for you. Join a company that values diversity and is committed to fostering an inclusive environment.

Qualifications

• 6+ years of experience in data platform engineering with cloud expertise.
• Strong ownership of mission-critical systems and mentoring skills.

Responsibilities

• Design and optimize high-performance data platforms for real-time processing.
• Deploy cloud infrastructure at scale and maintain CI/CD pipelines.

Skills

Cloud-based data platforms

Data engineering best practices

Real-time streaming data processing

Data architecture

Data modeling

Mentoring

Batch and streaming data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Terraform

DBT

Databricks

Apache Spark

Apache Flink

Kafka

Airflow

Job description

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 create 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 Data 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 both batch and streaming data pipelines using DBT/Databricks/Apache Spark/Apache Flink, as well as deep understanding of data architecture and data modeling best practices
• 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, DBT, Airflow, Debezium, Delta/Iceberg/Paimon, StarRocks, Trino, and proficient with Python/Java and SQL
• 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 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. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Harvey Milk Day, World Humanitarian Day, and UN International Migrants Day, and a commitment to continue revisiting and reevaluating 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 here. We can’t wait to meet you.