M365 engineer designing secure Microsoft 365, identity, collaboration, and Windows endpoint solutions. Supporting Sun Life’s mission to help Clients achieve financial security and healthier lives.
About the role
- Senior Databricks Engineer responsible for designing and implementing modern data platforms on Azure Databricks. Working closely with client teams to migrate and optimize data workloads while ensuring best practices.
Responsibilities
- Lead the implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog).
- Design and implement data pipelines using Azure Databricks (PySpark, SQL)
- Build and optimize batch and streaming data workloads
- Migrate legacy data workloads to Azure + Databricks
- Implement Delta Lake patterns (medallion architecture, CDC, data quality)
- Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github
- Optimize performance and cost (cluster sizing, job orchestration, query tuning)
- Collaborate with solution architects, analytics engineers, and client stakeholders
- Support client enablement through knowledge transfer and documentation
- Provide hands-on solution delivery, including guiding and working closely with client engineers and ensuring best practices.
- Implement governance models and Unity Catalog including data access, lineage, and security frameworks.
- Evaluate and prioritize high-value AI and ML use cases, embedding Generative AI into client strategies.
- Act as a thought leader by contributing to client workshops, executive roundtables, and industry discussions.
Requirements
- 5–7+ years of experience in data engineering.
- 3+ years of hands-on experience with Databricks, including advanced features (Delta Lake, Unity Catalog, MLflow).
- Proven experience leading large-scale data migrations (ETL, workloads, cloud platforms).
- Strong expertise in Azure environments.
- Multi-cloud experience is an asset.
- Experience working with Azure data services (ADLS, ADF, Synapse, etc.)
- Solid understanding of modern data architectures (lakehouse, medallion, ELT/ETL)
- Experience with CI/CD for data workloads
- Databricks or cloud certifications required.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible working arrangements
- Professional development
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