Data Architect

Summary

Join PartnerStack as a Data Architect to build the next generation of data infrastructure. Design and evolve the data architecture, ensuring alignment with business goals and long-term sustainability. Define and enforce data modeling standards. Architect and implement data pipelines and orchestration frameworks. Lead the design of data governance frameworks. Collaborate with engineering teams to define data contracts and APIs. Evaluate and recommend tools and technologies to enhance the data platform. Provide architectural guidance on GenAI and ML initiatives. Partner with cross-functional stakeholders to translate business requirements into data solutions. Lead architectural reviews and mentor data engineers and analysts. Maintain comprehensive documentation of data architecture.

Requirements

• 10+ years of experience in data engineering, data architecture, or a related technical role, with strong proficiency in enterprise architecture, data and software engineering
• Proven experience designing and implementing enterprise-scale data architectures in cloud environments (e.g., GCP, AWS, or Azure)
• Deep understanding of data warehousing, data lakes, and modern data stack tools (e.g., BigQuery, Snowflake, Airflow, dbt, Fivetran, Looker)
• Ability to create scalable designs capable of supporting high workloads and large numbers of simultaneous users, processes and integrations
• Strong knowledge of master data management, data governance, metadata management, data lineage, and security best practices
• Fluent designing and working with various data types including structured, semi-structured, and unstructured data
• Ability to implement operational monitoring and alerting for all aspects of the system
• Proven experience designing and implementing CI/CD, and DevOps practices in data environments
• Adept at designing highly scalable, distributed and fault tolerant data architectures ensuring full high availability and disaster recovery capabilities
• Excellent communication and stakeholder management skills, with the ability to align technical solutions with business needs
• A strategic mindset with a strong sense of ownership, accountability, and a drive to build future-proof systems

Responsibilities

• Design and evolve PartnerStack’s data architecture, ensuring alignment with business goals, scalability, and long-term sustainability
• Define and enforce data modeling standards and best practices across the organization
• Architect and implement data pipelines, integrations, and orchestration frameworks
• Lead the design of data governance frameworks, including data quality, lineage, cataloging, and access control policies
• Collaborate with engineering teams to define data contracts, schemas, and APIs that ensure consistency and interoperability across systems
• Evaluate and recommend tools, platforms, and technologies to enhance the data platform’s performance, reliability, and developer experience
• Provide architectural guidance on GenAI and ML initiatives, ensuring data readiness, scalability, and compliance
• Partner with cross-functional stakeholders (Product, Engineering, Analytics, and Business teams) to translate business requirements into robust data solutions
• Lead architectural reviews, conduct design sessions, and mentor data engineers and analysts on architectural principles and best practices
• Maintain comprehensive documentation of data architecture, standards, and system integrations to support transparency and knowledge sharing

Benefits

• A digital-first environment, so you can do your best work anywhere in Canada
• A MacBook shipped to you and a budget for peripherals of your choice
• Flexible working hours (in coordination with your team)
• Flexibility to work abroad for up to 8 weeks at a time
• Regular social events, even while working remotely
• Annual peripheral refresh
• Competitive salary and opportunities for promotion
• High-quality health insurance, active from your first day
• HSA and Wellness Accounts
• Generous vacation and time off plan
• Employee Stock Option Plan for everyone (ESOP)
• RRSP with an employer matching component