Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Design and implement scalable, secure enterprise data architectures aligned with business requirements, including modern data warehouses, data lakes, and cloud-based data platforms. Define data integration strategies and evaluate technologies and architectural solutions to meet business needs.
Job details
Job Title: Data Architect - Technical Architect Location: Toronto, ON Hybrid Job Type: Full-Time Permanent Total Experience: 6 - 8 years Role Description: Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement and also architect modern data warehouse, data lakes, and cloud-based data plat form using ETL, Azure, ADF, Databricks, big data and AWS. Required Skill Set: • Minimum 4-5 years of experience in ETL, Azure, ADF, Databricks, Bigdata, AWS. • Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement. • Develop conceptual, logical, and physical data models to support operational and anlytical system. • Architect modern data warehouses, data lakes, and cloud-based data. • Define data integration strategies, including ETLELT pipelines, batch processing and real-time. • Evaluate and recommend data technologies platforms, and architectural solution based on business needs.
What you’ll do
Design and implement scalable, secure enterprise data architectures aligned with business requirements, including modern data warehouses, data lakes, and cloud-based data platforms. Define data integration strategies and evaluate technologies and architectural solutions to meet business needs.
Requirements
The role requires 6–8 years of total experience, with at least 4–5 years of experience in ETL, Azure, Azure Data Factory, Databricks, big data, and AWS. Candidates should be able to develop conceptual, logical, and physical data models and architect enterprise data platforms and integration pipelines.
Listed skills
- Microsoft Azure · Preferred
- Amazon Web Services · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- ETL
- Azure
- Azure Data Factory
- Databricks
- Big Data
- AWS
- Enterprise Data Architecture
- Data Modeling
- Data Warehousing
- Data Lakes
- Cloud Data Platforms
- Data Integration
- ELT
- Batch Processing
- Real-Time Processing
- Technology Evaluation
Job areas
- Technology
- Data & Analytics
- Software
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