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Required Skills
- 10-15 years of total experience with at least 3+ years of expertise in Cloud data warehouse technologies on Azure data platform, including ADF, ADLS, Synapse, Microsoft Fabric, Databricks, etc.
- At least one end-to-end Azure data platform implementation covering architecture, design, data engineering, data visualization, and data governance (data quality and lineage).
- Significant experience with data migrations, Operational Data Stores, Enterprise Data Warehouses, Data Lake, and Data Marts.
- Proficiency in SQL and Data Warehousing lifecycle.
- Experience with cloud ETL/ELT tools like DBT, ADF, Matillion, or similar, and exposure to Big Data ecosystems like Hadoop.
- Experience with traditional data warehouse solutions such as Oracle, Teradata, or Microsoft SQL Server.
- Excellent communication skills for liaising with Business & IT stakeholders.
- Ability to plan and estimate project efforts.
- Understanding of Data Vault, Data Mesh, and Data Fabric architecture patterns.
- Experience working in Agile environments.
Good To Have Skills
- Knowledge of Python and PySpark.
- Experience with DevOps, CI/CD, GitHub.
- Understanding of Banking and Financial Services domains.
Roles And Responsibilities
- Provide technical pre-sales support on data architecture, engineering, modeling, consumption, migration, and governance on Azure.
- Work with cross-functional teams, onsite/offshore, and stakeholders including CXOs.
- Create technical proposals and respond to RFPs.
- Discuss, design, optimize solutions, and plan deployment.
- Conduct workshops and meetings, prepare PoC and POVs, liaise with partners like Microsoft and Databricks.
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: IT Services and IT Consulting
Location: Mississauga, Ontario, Canada
Salary: CA$153,000.00 - CA$170,000.00