Closed listing
AWS GCP Architect
- Montreal, QC, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- · 7+ years experience in data architecture, data engineering, enterprise architecture, or a related discipline.
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Data Architect
Our Challenge
We are seeking a Senior Architect to lead the design and evolution of secure, scalable, reliable, and cost-effective modern data platforms. This role will establish enterprise data architecture standards across lakehouse, data warehouse, integration, governance, and analytics environments while providing technical leadership to delivery teams and stakeholders.
Responsibilities:
· Design modern data platforms using lakehouse, data warehouse, and Bronze/Silver/Gold medallion architecture patterns.
· Develop dimensional, enterprise, logical, and physical data models.
· Define batch, CDC, streaming, near-real-time, API integration, and workflow orchestration patterns.
· Establish standards for pipeline dependencies, monitoring, error handling, recovery, and operational support.
· Design data access, authentication, authorization, IAM, encryption, masking, and least-privilege security patterns.
· Define governance operating models, including ownership, stewardship, lineage, cataloging, data quality, classification, and compliance.
· Develop data lifecycle, retention, backup, disaster recovery, and business continuity strategies.
· Optimize query performance, storage, compute utilization, scalability, reliability, and platform costs.
· Lead architecture reviews, technical decisions, roadmaps, and solution documentation.
· Collaborate with engineering, security, infrastructure, analytics, business, and application teams.
· Mentor technical teams and ensure solutions align with enterprise architecture standards.
Skills:
· 7+ years experience in data architecture, data engineering, enterprise architecture, or a related discipline.
· Must have hands on experience with AWS, and Google Cloud.
· Proven experience designing modern lakehouse and data warehouse platforms.
· Strong knowledge of dimensional and enterprise data modeling.
· Experience with batch processing, CDC, streaming, APIs, and workflow orchestration.
· Strong understanding of data security, IAM, governance, privacy, and compliance.
· Experience with technologies such as BigQuery and AirFlow is an advantage.
More about this job
Responsibilities
Design and evolve secure, scalable, reliable, and cost-effective data platforms, defining architecture standards across lakehouse, data warehouse, integration, governance, and analytics environments. Lead architecture decisions, reviews, roadmaps, and documentation while collaborating with stakeholders and mentoring delivery teams.
Requirements
Requires at least 7 years of experience in data architecture, data engineering, enterprise architecture, or a related field, with hands-on experience using AWS and Google Cloud. Candidates should have experience with modern lakehouse and data warehouse platforms, data modeling, data integration and orchestration, and data security and governance; BigQuery and Airflow experience is an advantage.
Skills
- AWS
- Google Cloud
- Data Architecture
- Lakehouse Architecture
- Data Warehousing
- Data Modeling
- Batch Processing
- Change Data Capture
- Streaming
- API Integration
- Workflow Orchestration
- Data Security
- Identity and Access Management
- Data Governance
- BigQuery
- Apache Airflow
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
- Consulting
Keywords
- AWS
- Google Cloud
- BigQuery
- Apache Airflow
- Data Architecture
- Data Engineering
- Enterprise Architecture
- Lakehouse
- Data Warehouse
- Bronze/Silver/Gold Medallion Architecture
- Dimensional Data Modeling
- Enterprise Data Modeling
- Batch Processing
- Change Data Capture
- Streaming
- API Integration
- Workflow Orchestration
- Pipeline Monitoring
- Error Handling
- Data Security
- Identity and Access Management
- Encryption
- Data Governance
- Data Lineage
- Data Cataloging
- Data Quality
- Data Lifecycle Management
- Disaster Recovery
- Business Continuity
- Query Performance Optimization