Senior Data Platform Engineer

Clio is the global leader in legal AI technology empowering legal professionals and law firms of every size to work smarter faster and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about building scalable logging architectures designing robust data pipelines and driving security-focused logging automation at scale. You will help lead support and implement the technical architecture for our logging infrastructure while making a tangible impact on our security observability.

This role is available to candidates across Canada. If you are local to one of our hubs (Burnaby Calgary or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days.

Are you someone whos always probing and asking why someone who enjoys architecting elegant solutions to complex data pipeline challenges If so we have a spot for you on Clios Logging Engineering team! We are looking for candidates to help design and evolve our logging platform architecture supporting the team with technical leadership for security logging overall. If you have a strong data engineering background with a passion for security and experience building enterprise-scale logging platforms then we want to talk to you.

• Contributing to the design and architecture of scalable logging infrastructure including data lakes security lakes and multi-tier storage strategies

• Building and optimizing high-throughput log ingestion pipelines using streaming technologies and cloud-native services

• Architecting ELK stack deployments OpenSearch clusters and hybrid cloud logging solutions

• Designing data retention lifecycle management and cost optimization strategies for petabyte-scale log storage

• Partnering with the security team lead to develop the logging platform roadmap and technical vision

• Building Infrastructure as Code for logging infrastructure provisioning scaling and disaster recovery

• Optimizing query performance across multiple data stores and implement efficient data partitioning strategies

• Designing API and integration layers for log data access enabling self-service analytics and detection engineering

• Contributing to capacity planning performance tuning and architectural decisions for the logging platform

• Mentoring engineering team members on logging best practices data architecture and platform operations

• Proven Senior-level expertise building enterprise-scale logging and data ingestion systems typically gained over 5 years of relevant experience

• Data architecture experience designing data lakes lake houses and multi-tier storage architectures for log data

• Mastery of big data technologies and processing systems including but not limited to Splunk OpenSearch ElasticSearch & the ELK Stack Map Reduce Hadoop Cassandra and other comparable data ingestion & query systems

• Experience in Data Modelling using one or more methodologies like Kimbal Inmon or Data Vault for data-at-rest schema normalization

• Streaming data expertise with Apache Kafka Amazon Kinesis AWS Glue Azure Event Hubs or similar real-time ingestion platforms

• Cloud storage architecture experience with AWS S3 Azure Data Lake GCS and intelligent data tiering strategies

• Performance optimization skills for high-volume data ingestion indexing strategies and query optimization

• Infrastructure as Code proficiency with Terraform CloudFormation or similar for logging infrastructure automation

• Data pipeline engineering experience with Apache Spark Flink or cloud-native data processing services

• API and integration design for enabling secure access to log data across multiple consumer applications

• Monitoring and observability expertise for logging platform health performance metrics and capacity planning

• An AI first mentality where your decision making coding and throughput are amplified through your AI usage

• Programming proficiency in Python Ruby Go or Scala for custom logging pipeline development and automation

• Experience with SQL Data Warehouse Dimensional Modelling using Kimball Inmon Business Data Vault or other modelling techniques.

• Kubernetes and Container encapsulation for logging architecture within cloud-native application systems.

• Security-focused logging experience with SIEM integration security data lakes and compliance-driven data retention

• Multi-cloud logging architecture designing consistent logging platforms across AWS Azure and GCP

• Data governance expertise implementing data classification privacy controls and regulatory compliance for log data

• Advanced analytics platforms experience with Splunk Enterprise Sumo Logic or other enterprise logging platforms

• Cost optimization expertise for large-scale data storage implementing intelligent archiving and data lifecycle policies

• Technical leadership experience mentoring teams setting architectural standards and driving technical strategy

What you will find here:

Compensation is one of the main components of Clios Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

• Competitive equitable salary with top-tier health benefits dental and vision insurance

• Hybrid work environment with expectation for local Clions (Vancouver Calgary Toronto Dublin London New York City and Sydney) to be in office min. twice per week.

• Flexible time off policy with an encouraged 20 days off per year.

• $2000 annual counseling benefit

• RRSP matching and RESP contribution

• Clioversary recognition program with special acknowledgement at 3 5 7 and 10 years

Diversity Inclusion Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves and are united by our mission. We are dedicated todiversity equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included valued and enabled to do the best work of their careers wherever they choose to log in from. We believe that different perspectives skills backgrounds and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation please let us know and we will work with you to meet your needs.

Learn more about our culture at a Human and High Performing AI company meaning we use artificial intelligence to improve all of our recruitment AI helps us streamline the process for greater efficiency. However weve built our systems to ensure that a human always reviews AI-generated output and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @ email addresses.