Forward Deployed Data Architect

This is a fully remote position, open to applicants in Canada.

📋 Description

• Collaborate directly with client stakeholders to grasp business goals, technical needs, existing data environments, and architectural obstacles.

• Create and propose contemporary data platform architectures utilizing Azure Databricks, Delta Lake, and cloud-based data engineering technologies.

• Conduct technical workshops, discovery sessions, and architecture evaluations.

• Develop, validate, and review data engineering solutions using SQL, Python/PySpark, Apache Airflow, and dbt Core.

• Set standards for ingestion pipelines that integrate APIs, databases, files, and cloud data sources.

• Define reusable architectural patterns, implementation protocols, and engineering best practices.

• Design and oversee Bronze, Silver, and Gold medallion data layers.

• Establish practices for Unity Catalog, data access controls, lineage, semantic modeling, data discoverability, and governance.

• Review outputs from partner and engineering teams, including architecture designs, code, data models, and pipelines.

• Set standards for data validation, automated testing, pipeline monitoring, error handling, and operational readiness.

• Guide Git workflows, automated testing, CI/CD pipelines, and controlled deployments.

• Assess performance, processing efficiency, scalability, and cloud consumption for enhancement.

• Promote the use of AI-assisted development tools and specification-driven engineering practices.

• Provide technical guidance and coordinate efforts among client stakeholders, internal engineers, and external technology partners.

• Articulate architectural decisions, trade-offs, dependencies, risks, and recommendations.

• Maintain architectural responsibility from discovery and solution design to implementation, deployment, and optimization.

⛳️ Requirements

• 8+ years of comprehensive experience in data engineering, data architecture, or similar technical roles.

• Proven background in a client-facing technical position, such as Data Architect, Solutions Architect, Technical Consultant, or Lead Data Engineer.

• Strong hands-on experience with Azure Databricks.

• In-depth knowledge of Delta Lake.

• Familiarity with Unity Catalog, covering data governance, access controls, lineage, and enterprise data management.

• Proficient in SQL and Python/PySpark.

• Practical experience with Apache Airflow and dbt Core.

• Expertise in designing ingestion pipelines across APIs, relational databases, files, and other enterprise data sources.

• Acquainted with Lakeflow Connect and Auto Loader.

• Solid understanding of Medallion Architecture, data products, semantic modeling, and data quality frameworks.

• Experience with CI/CD, Git, automated testing, monitoring, and managing production data pipelines.

• Capability to review and critically assess technical architectures, code, data models, and engineering deliverables.

• Experience in translating business requirements into technical specifications, architectural designs, and implementation roadmaps.

• Ability to evaluate technical trade-offs and communicate recommendations effectively.

• Experience collaborating with external technology partners, third-party delivery teams, or distributed engineering organizations.

• Familiarity with AI-assisted development tools and specification-driven development methods.

• Excellent communication, presentation, stakeholder management, and problem-solving abilities.

• Capacity to manage competing priorities, navigate uncertainty, and foster trusted client relationships.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work opportunities.

• Professional development and training programs.

• Generous vacation and paid time off policy.