Data Engineer / Architect

Case IQ helps companies protect their employees, culture, and business through world-class software for uncovering, investigating, and preventing fraud, ethics, harassment, discrimination, and security incidents. We’re proud to count a roster of Fortune 500 companies among our customers, which have relied on Case IQ for managing millions of cases over the past 20 years and helping mitigate billions of dollars in financial and brand risk. 

 

We’re looking for a seasoned and systems-minded Data Engineer / Architect to help lead the evolution of our data platform. This role will be foundational to a transformative initiative: centralizing data across our products and tenants to enable internal analytics, cross-tenant benchmarking, and next-generation AI/ML-driven insights. This work will underpin everything from internal operational analytics to the launch of innovative new product capabilities.  

 

The ideal candidate is passionate about designing data architectures that are scalable, secure, and extensible. You’ll partner across engineering and product teams to ensure our data foundation is structured to unlock meaningful insights and high-value applications.  

 

What You’ll Do 

• Data Platform Design: Architect and implement scalable data pipelines and models to ingest, normalize, and structure data across tenants and products into a unified analytics platform
  

• Cross-Functional Collaboration: Work closely with data scientists, product managers, and engineers to shape data solutions that support real-time insights, internal KPIs, and product innovation
  

• Data Governance: Establish systems and guardrails that ensure data consistency, security, and usability at scale—across tenants, regions, and compliance domains
  

• Enablement for ML & Analytics: Structure datasets to support supervised and unsupervised ML models, internal benchmarking dashboards, and productized data features
  

• Innovation & Technical Leadership: Bring architectural vision and hands-on execution to evolving our Snowflake-based platform (with coordination in Azure and AWS too) in a way that supports modern analytical and AI workloads.  

 

Who We’re Looking For 

• Bachelor’s degree in Computer Science, Engineering, or related field—or equivalent experience
  

• 5+ years of experience in data engineering, data architecture, or backend systems development
  

• Demonstrated success designing data solutions with Snowflake, Postgres, Elasticsearch, or similar analytical platforms in SaaS or multi-tenant environments
  

• High degree of proficiency with cloud platforms, including Azure and AWS
  

• Proficient in Python and SQL; experience with workflow orchestration tools such as Airflow preferred
  

• Strong understanding of event-driven design, schema evolution, and large-scale data processing
  

• Familiarity with SaaS architectures, data security, and governance best practices.
  
  

Perks and Benefits 

• Work remotely within a flexible work environment (our team spans the US and Canada) 

• Competitive company-paid benefits plan starting day 1! 

• Generous professional development budget 

• RRSP/ 401k matching program

• Half-day Fridays in the summer  

 

Selected candidates will be contacted through BambooHR (please check your junk mail).