Data Integration lead
Job Description
We're looking for a highly experienced Senior Azure Data Engineer to join our team and contribute to the next phase of enterprise data modernization. This role focuses on cloud-native engineering, data modeling, and building scalable data products using the Microsoft Azure ecosystem.
You will design and deliver solutions that power analytics, reporting, regulatory needs, and long-term data product strategies-particularly within US Wealth data domains.
Core Skills:
12+ years in Data Engineering, Data Warehousing, and ETL development
Strong hands-on experience with:
- Azure Cloud Services (Data Lake, Synapse, ADF, Key Vault, Storage)
- Azure Databricks (Notebooks, Clusters, Delta, Lakehouse)
- PySpark & Python for large-scale data pipelines
- SQL for transformations, optimization, and performance tuning
- Unix/Linux for scripting and operations
Proven ability to build complex ETL pipelines, optimize performance, and convert legacy codebases into modern cloud-native architectures
Data Modeling & Architecture:
Experience building Conceptual, Logical, and Physical Data Models within Azure
Ability to translate business logic into clear Source-to-Target Mappings (STTM)
Strong understanding of data product design, metadata, lineage, and reusable models
Experience supporting Data Product strategies for US Wealth or similar financial domains (bonus)
Experience with CI/CD pipelines for data workloads
Strong proficiency with Jira and Confluence for Agile delivery
Ability to create technical specification documents, design flows, and development standards
Ability to mentor junior engineers and contribute to engineering best practices
Good to have:
Relevant certifications (Azure Data Engineer, Databricks, DP-203, etc.)
Financial Services background in:
- Risk & Regulatory Data
- Credit Cards / Retail Banking
- Commercial or Wealth Data Platforms
What you will do:
- Design, build, and maintain end-to-end Azure-based data pipelines
- Develop optimized Databricks & PySpark workloads for batch and near-real-time processing
- Perform code conversion and modernization as part of cloud transformation initiatives
- Build and maintain scalable data models supporting analytics and data product use cases
- Work closely with cross-functional teams-architecture, product, engineering, and QA
- Ensure high standards of data quality, lineage, governance, and performance
How to Apply
Ready to start your career as a Data Integration lead at Global ERP Solutions?
- Click the "Apply Now" button below.
- Review the safety warning in the modal.
- You will be redirected to the employer's official portal to complete your application.
- Ensure your resume and cover letter are tailored to the job description using our AI tools.
Frequently Asked Questions
Who is hiring?▼
This role is with Global ERP Solutions in Mississauga.
Is this a remote position?▼
This appears to be an on-site role in Mississauga.
What is the hiring process?▼
After you click "Apply Now", you will be redirected to the employer's official site to submit your resume. You can typically expect to hear back within 1-2 weeks if shortlisted.
How can I improve my application?▼
Tailor your resume to the specific job description. You can use our free Resume Analyzer to see how well you match the requirements.
What skills are needed?▼
Refer to the "Job Description" section above for a detailed list of required and preferred qualifications.