Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
About the role
- Fabric Data Architect designing and optimizing end-to-end data architectures at Keyrus. Collaborating with clients to deliver scalable data pipelines and lead teams through implementations.
Responsibilities
- Collaborate with clients to understand business objectives and technical requirements, translating them into target-state data architectures and roadmaps that drive value.
- Own the architecture of end-to-end data initiatives: design and guide the build of scalable data pipelines, lakehouses, and architectures using Fabric, and other modern tools (Databricks, Snowflake, Azure Data Services, etc.).
- Model full end-to-end medallion lakehouse architectures (bronze, silver, gold), articulate them clearly to client stakeholders, and guide their implementation - ensuring scalability, data quality, governance, and performance.
- Design and own parameterized ingestion frameworks for batch and near real-time pipelines, including source connectivity across diverse systems (databases, APIs, files, streaming) and on-premises data gateways.
- Optimize pipeline and query performance -tuning Spark, partitioning, shortcuts, and incremental loads - to meet SLAs cost-effectively as data volumes scale.
- Design and optimize semantic models -star-schema modeling, DirectLake and Import tradeoffs, relationship and DAX optimization, and aggregations - so analytics layers stay performant and scale with the business.
- Design, implement, and operate CI/CD pipelines to enable reliable, automated deployments across environments.
- Define, promote, and enforce Fabric architecture standards and best practices across engagements.
- Provide technical leadership to cross-functional teams -data engineers, analysts, and business stakeholders - mentoring engineers and ensuring delivery aligns to the agreed architecture.
- Stay up to date with offerings and emerging technologies, recommending improvements and innovative solutions to meet business needs.
Requirements
- Bachelor’s in computer science, IT, or related field.
- 7+ years of experience in data engineering or cloud data roles, including 2+ years in an architecture or technical lead capacity, with proven success in delivering end-to-end solutions.
- Deep hands-on Fabric experience, including designing and optimizing end-to-end medallion lakehouses, pipeline performance tuning, ingestion framework design, and semantic model optimization, plus strong expertise in at least 1 of the following: Databricks, Snowflake, Azure Data Factory.
- Strong command of data warehouse, lakehouse, and modern cloud data architecture patterns, including connectivity and integration across hybrid, on-premises, and cloud sources.
- Proven client-facing experience, with the ability to articulate and defend an architecture to senior client stakeholders and guide their teams through implementation, including the ability to push back constructively.
- Excellent communication skills, able to explain technical concepts to both technical and non-technical audiences.
- Experience working in Agile / Scrum delivery environments.
Benefits
- A stimulating environment where you will be able to surpass yourself and discover new horizons.
- A strong culture of innovation and entrepreneurship.
- Occasions to celebrate your success: 5 @ 7, team activities, birthdays, breakfasts and other special events.
- Group insurance for you and your family members.
- RRSP and DPSP participation plan.
- Monthly Wellness Allowance.
- Reimbursement of telecommunication costs.
- 4 weeks of paid vacation.
- Language courses (French & English).
- Access to continuing education (in-house, conferences, events, courses, certifications, etc.)
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