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Azure Data Platform Engineer
LinkedIn Recruiter Post
Hiring Azure Data Platform Engineer in Toronto (Hybrid). Design scalable data architectures, develop ETL pipelines, and manage Azure data solutions.
About the role
- Senior Data Engineer / Snowflake Architect leading the design and optimization of data solutions. Working closely with clients and internal teams to build scalable architectures in a hybrid environment.
Responsibilities
- Lead the design, development, and optimization of Snowflake-based data solutions for enterprise clients
- Work closely with the client's internal architect and delivery teams to shape scalable, secure, and high-performing data architecture
- Confidently challenge technical decisions when needed, bringing a strong point of view grounded in Snowflake best practices and modern data architecture principles
- Assess current-state data platforms, pipelines, and patterns, then identify opportunities for improvement, simplification, modernization, and optimization
- Design and implement robust batch and near real-time data pipelines to support analytics, reporting, and advanced data use cases
- Develop and optimize data transformation layers using SQL, Python, dbt, and related modern data engineering practices
- Drive Snowflake platform excellence across performance tuning, workload optimization, cost efficiency, data modeling, security and governance, and orchestration and automation
- Proactively introduce and evaluate relevant Snowflake capabilities such as Snowpark, Streams and Tasks, Dynamic Tables, data sharing, and other platform enhancements
- Contribute to platform strategy discussions, including articulating the strengths and tradeoffs of Snowflake versus other modern data platforms
- Partner with engineers, analysts, architects, and business stakeholders to deliver production-ready solutions in a fast-paced consulting environment
- Support pre-sales, discovery, and technical advisory conversations when needed
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience
- 7+ years of experience in data engineering, cloud data, or modern data platform roles
- Strong hands-on experience with Snowflake development and architecture
- Snowflake certification: SnowPro Core or any SnowPro Advanced certification
- Strong command of advanced SQL and solid experience with Python for transformation, automation, and pipeline development
- Proven experience designing and delivering end-to-end production data solutions
- Strong understanding of data warehouse, lakehouse, and modern cloud data architecture patterns
- Experience working directly with client stakeholders, architects, and technical leads
- Ability to operate with confidence and credibility in front of client teams, including the ability to push back constructively and influence architecture direction
- Experience with dbt or similar transformation and testing frameworks
- Experience with ingestion and integration patterns using APIs, file-based ingestion, ELT platforms such as Fivetran or equivalent, and cloud-native services
- Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences
- Experience working in Agile / Scrum delivery environments
Benefits
- 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)
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