Posted 2 days ago
Data Architect
@ Gala Solutions
Toronto, Ontario
Overview
Gala Solutions is hiring a contract Data Architect in Toronto, hybrid 3 to 4 days a week, for a 12+ month engagement. The role assesses data flows, designs remediation and data controls (encryption, tokenisation, access controls, minimisation) and works with platform teams on implementation. The posting states the hybrid schedule and contract duration but no pay.
Responsibilities:
- Analyse end-to-end data flows and integrations
- Design current and target-state architecture diagrams
- Perform PII and sensitive data assessments
- Design data protection controls such as encryption and tokenisation
- Support modernisation of customer and loyalty data integrations
Requirements summary:
- Strong data architecture and data governance background
- Data security experience including RBAC/ABAC and encryption
- Experience with Azure, Databricks, Kafka and SQL
- Retail, loyalty, financial services or customer data experience preferred
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-11
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Gala Solutions
| Field | Value |
|---|---|
| Open jobs on Jobsy | 4 |
Job Title: Data Architect
Location: Toronto (3–4 days a week hybrid)
Duration: 12 + months
The Role
We are looking for a hands-on data architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation solutions, defining data controls, supporting architecture decisions, and working with platform teams to implement improvements related to data minimisation, encryption, tokenisation, access controls, logging controls, and customer identifier management.
The ideal candidate will have a strong background in data architecture, data governance, data security, integration architecture, and cloud data platforms.
Key Responsibilities
- Data Architecture & Analysis
- Analyse end-to-end data flows across batch and API integrations.
- Develop current-state and target-state architecture diagrams.
- Perform data lineage, impact analysis, and dependency assessments.
- Identify data exposure risks across enterprise platforms.
- Document integration patterns and data movement across systems.
- Support architecture reviews and solution approvals.
- Data Governance & Controls
- Perform PII and sensitive data assessments.
- Define data classification, retention, and handling requirements.
- Design data minimisation and data protection strategies.
- Support enterprise data governance initiatives.
- Define data ownership and stewardship models.
- Data Security & Privacy
- Design data protection controls, including:
- Encryption
- Tokenisation
- Data Masking
- Hashing
- Secure Logging
- Support RBAC and ABAC design.
- Review access models, service accounts, and privileged access requirements.
- Support security and privacy compliance initiatives.
- Integration & Platform Architecture
- Assess batch, API, messaging, and data lake architectures.
- Design secure data movement and interface patterns.
- Support modernisation of customer and loyalty data integrations.
- Work closely with platform teams to implement approved architecture solutions.
- Stakeholder Management
- Collaborate with business, security, data governance, platform, and engineering teams.
- Facilitate architecture workshops and design sessions.
- Prepare executive and architecture review documentation.
- Support programme planning, risk management, and roadmap development.
Qualifications and Skills
Required Skills:
- Data Architecture & Solution Design
- Data Modelling (Conceptual, Logical, Physical)
- Data Lineage & Impact Analysis
- Integration Architecture
- Enterprise Data Management
- API & Batch Processing Architecture
- Data Governance
- PII Classification & Data Privacy
- Data Governance Frameworks
- Metadata Management
- Data Quality & Data Stewardship
- Data Retention & Archival Strategies
- Data Security
- Encryption (Data at Rest & In Transit)
- Tokenisation & Data Masking
- RBAC & ABAC
- Access Governance
- Secure Logging & Monitoring
- Key Management Concepts
- Platforms & Technologies
Experience with some of the following:
- Microsoft Azure
- Azure Data Factory (ADF)
- Azure Data Lake (ADLS)
- Azure SQL
- Databricks
- Hadoop / Data Lake platforms
- IBM DataStage
- Kafka / Event Streaming platforms
- REST APIs
- Middleware / ESB platforms
- Salesforce
- SQL
Preferred Experience:
- Retail, Loyalty, Financial Services, Banking, or Customer Data domains.
- Experience with customer identity and master data management.
- Experience in data remediation, data governance, or security transformation initiatives.
- Experience working with cross-functional architecture and engineering teams.
Success Criteria:
The successful candidate will be able to:
- Analyse complex enterprise data flows and integrations.
- Identify data governance and security gaps.
- Design scalable and secure data architectures.
- Define remediation solutions for data exposure risks.
- Develop target-state data governance and protection frameworks.
- Support implementation of enterprise data controls and modernisation initiatives.
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