Senior data specialist responsible for leading data mapping, documenting field-level mappings and lineage, ensuring data quality and validation, performing reconciliation, collaborating with engineers and stakeholders, and building reports/dashboards to support analytics and governance across Azure/Databricks enterprise data platforms.
Job Title: Data Analytical Specialist/Scientist - Senior
Location: Hybrid – 3 days onsite / 2 days remote (subject to change)
Contract: 6 month contract
Pay Rate: $70 - $75/hr depending on experience.
About the Role
Our client is looking for an experienced Data Analytical Specialist/Scientist to join a high-performing Data Platform team. This team is responsible for delivering scalable, secure, and reliable data and cloud infrastructure solutions across the enterprise.
You will play a key role in ensuring data accuracy, integrity, and alignment across complex data ecosystems, working with modern technologies including Azure, Databricks, and enterprise data platforms.
Must-Have Requirements
- 8+ years of experience in Data Mapping & Documentation
- 8+ years of experience in Data Quality & Validation
- 8+ years of hands-on experience with Microsoft Azure
Key Responsibilities
Data Mapping & Documentation
- Lead detailed data mapping across source systems, data platforms, and target environments
- Document field-level mappings, transformation logic, data lineage, and business rules
- Ensure alignment with enterprise data standards, governance, and architecture
- Maintain clear, version-controlled mapping documentation for engineering teams
- Analyze and profile datasets to identify structures, relationships, and data quality issues
- Identify data gaps, inconsistencies, and risks during migration or integration
Stakeholder Collaboration
- Collaborate with data engineers, architects, business analysts, and product owners
- Translate business requirements into technical mapping documentation
- Facilitate workshops to resolve data ambiguities and define business rules
Data Quality & Validation
- Define validation rules and expected outputs for testing teams
- Perform data reconciliation between source and target systems
- Partner with data governance teams to improve data quality and metadata accuracy
Reporting & Insights
- Develop dashboards and reports (e.g., Power BI) to support business needs
- Present insights and recommendations to both technical and non-technical stakeholders
- Contribute to self-service analytics and reporting frameworks
Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
BEV123
Similar Jobs
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling advice, product recommendations, and customer service in a Kate Spade retail store. Responsibilities include driving sales through customer engagement and storytelling, completing POS transactions, maintaining stockroom organization, supporting virtual selling, and collaborating with the team. The role requires flexible scheduling, retail experience, strong communication skills, and the ability to perform physical tasks such as lifting, bending, and maneuvering through sales and stockroom areas.
Top Skills:
Pos
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Lead analyst responsible for managing a portfolio of Canadian banks, non-bank financial institutions, and credit unions. Perform ongoing financial and credit analysis, prepare rating committee presentations, reports and press releases, attend issuer meetings, participate in rating committees, and maintain client relationships. Produce surveillance, research, and written analysis while collaborating with the ratings team.
Top Skills:
Bloomberg
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads functional systemization and solution design for radio and wireless communication products. Translates customer, market, regulatory, and product requirements into system requirements, interfaces, behaviors, and acceptance criteria. Leads feasibility studies, architecture evaluations, and technical investigations; provides recommendations, root-cause analysis, and technical leadership across hardware, software, security, verification, and product management teams. Supports secure-by-design development, compliance, planning, prioritization, mentoring, and global stakeholder alignment.
Top Skills:
CybersecurityRadio Access Networks (Ran)TelecommunicationsWireless Communication Systems
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
