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.
Summary: 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.
What your team does Are you someone who's 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 Clio's 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.
A day in the life might look like: 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 productive 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
What you may have: 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
Serious bonus points if you have: 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 Clio's 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.
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
The expected salary range for this role is $157,300 to $212,800 CAD. Initial placement within the range is informed by geographic region, experience, and skillset,



with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, 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 clio.com/careers.
We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.
About Clio Clio is on a mission to transform the legal experience for all. Clio is the global leader in legal AI, building the platform that powers the future of legal work. With the scale, data, and ambition to redefine how the legal industry operates, we are advancing a comprehensive strategy that spans the full lifecycle of legal work—from knowledge and insight to execution and outcomes. At the center of this vision is the Intelligent Legal Work Platform, the legal industry’s first System of Action. By combining Clio’s core product suite with Clio Work and AI-native capabilities, the platform turns information into insight and insight into action. As we expand into the enterprise, Clio for Enterprise extends this foundation to support the complexity, scale, and operational rigor of global organizations through solutions like Clio Operate and Vincent by Clio. Backed by industry-leading data and intelligence, Clio is building the infrastructure that enables legal teams to operate with greater speed, confidence, and impact. Clio’s leadership and momentum have been recognized globally. In 2022, we achieved Centaur status, a milestone reached by fewer than 200 private SaaS companies worldwide. We are a proud honoree of the Forbes Cloud 100 and Fortune’s Future 50, have been named Innovator of the Year, and are a Platinum Club member of Canada’s Best Managed Companies. We are consistently recognized as one of Canada’s Top 100 Employers and a Top Employer for Young People, with our international offices also earning placements on Great Place to Work’s Best Workplaces lists. Headquartered in Vancouver, Canada, Clio has grown to more than 2,000 employees across offices in Toronto, Calgary, Dublin, Manchester, Sydney, Barcelona, and Bogotá—bringing together diverse perspectives to solve one of the world’s most complex and impactful professional challenges. Join Clio and help define the future of legal work through AI. Learn more at clio.com/careers.

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