Data Integration Architect
- ON, Canada
- Central Toronto (Summerhill West / Rathnelly / South Hill / Forest Hill SE / Deer Park), ON, Canada
Contract
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Job details
- Job type
- Contract
- Experience
- Core Skills and Experience (8+ Years)
- Posting language
- English
- Posted
Original job description
Position: Data Integration Architect
Location: Toronto, ON (Hybrid)
Job ID#: RQ11485
Duration: 6 Months
Role Overview
We are seeking an experienced Data Integration Architect/ Data
Architect / Data Modeller to support complex enterprise data initiatives
within a large-scale environment. The successful candidate will be responsible
for designing and implementing data architecture solutions, developing logical
and physical data models, analyzing source systems, and supporting the delivery
of high-quality data solutions aligned with enterprise standards.
This is a hybrid position requiring onsite attendance three (3) days per week and remote work two (2) days per week.
Key Responsibilities
- Develop
and implement data architecture solutions for application development
within complex and distributed environments.
- Determine
data flow, distribution strategies, database locations, and data access
methods.
- Review
existing source application data models and databases.
- Analyze
and design logical data model specifications for target systems.
- Collaborate
with business stakeholders to ensure data requirements are fully
addressed.
- Support
development teams in creating technical artifacts and data-related
deliverables.
- Conduct
research and analysis to produce effective data model designs.
- Align
data models and initiatives with enterprise data modeling standards and
requirements.
- Analyze
source data structures and develop source-to-target data mappings.
- Validate
and confirm data through advanced SQL-based analysis.
- Collaborate
with cross-functional teams, including Business Analysts, Subject Matter
Experts, Developers, and Architects.
- Communicate
data modeling outputs and recommendations to technical and business
stakeholders.
- Conduct
research to align deliverables with industry best practices and current
technology trends.
- Utilize
data modeling tools to create, maintain, and govern data models.
- Support
information sharing with business, information, solution, and technology
architects.
- Ensure
alignment with organizational policies, standards, and industry best
practices.
- Develop
and manage logical and physical data models.
Required Qualifications
Core Skills and Experience (8+ Years)
- Demonstrated
experience reviewing and analyzing business requirements for existing IT
applications and associated data.
- Experience
designing target-state data models.
- Strong
data analysis, research, and data modeling expertise.
- Experience
aligning initiatives with enterprise data modeling standards.
- Advanced
analytical skills and experience understanding source systems and
developing data mappings.
- Strong
RDBMS knowledge and advanced SQL capabilities.
- Experience
working within multidisciplinary project teams.
- Ability
to understand business domains and translate requirements into effective
data models.
- Ability
to work independently with minimal supervision.
- Strong
research and problem-solving skills.
- Expert-level
experience with data modeling tools.
- Experience
supporting enterprise architecture disciplines.
- Knowledge
of logical and physical data modeling techniques.
Nice-to-Have Skills
- Experience
supporting environmental, compliance, inspection, enforcement, or waste
management systems.
- Experience
using Computer-Aided Software Engineering (CASE) tools.
- Experience
using Python for data processing activities.
- Understanding
of Information Management principles and practices.
- Knowledge
of Parquet and Delta Lake data formats.
- Experience
with Azure Data Lakehouse environments.
- Knowledge
of Star Schema and Snowflake modeling concepts.
About Symbiotic Digital.
Symbiotic Digital provides the IT Experts you need that solve problems and get things done. See what the top 2% in their field can do for you. (Symbiotic Digital is a division of Symbiotic Group Inc.) We serve
customers in two ways, we provide:
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Serving IT & Business leaders, Symbiotic Digital provides a business system that enable us to provide the Expert Technical staff needed to solve challenging business and IT problems. IT leaders in the most reputable organizations in Canada have relied on Symbiotic Digital to help them staff difficult assignments with proven Experts uniquely evaluated by our proven QMS- Quality Management System Staff Development Model. We are a 100% Indigenous owned company.
Learn more online at https://www.symbioticgroup.com/home-sd/.
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More about this job
Responsibilities
The Data Integration Architect will design and implement complex data architecture solutions, including logical and physical data models. They will collaborate with stakeholders to ensure data requirements are met and align deliverables with enterprise standards.
Requirements
Candidates must have over 8 years of experience in data modeling, RDBMS, and advanced SQL analysis. Strong research, problem-solving, and communication skills are required to support multidisciplinary project teams.
Skills
- Data Architecture
- Data Modeling
- SQL
- RDBMS
- Data Mapping
- Logical Data Modeling
- Physical Data Modeling
- Enterprise Architecture
- Data Integration
- Azure Data Lakehouse
- Python
- Star Schema
- Snowflake Modeling
- Parquet
- Delta Lake
- Information Management
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
- Government & Public Sector
Keywords
- Data Integration Architect
- Data Architect
- Data Modeller
- Enterprise Data
- Logical Data Model
- Physical Data Model
- Source-to-target Mapping
- SQL
- RDBMS
- Azure Data Lakehouse
- Python
- Parquet
- Delta Lake
- Star Schema
- Snowflake Modeling
- Information Management
- CASE Tools
- Data Modeling Tools
- Enterprise Architecture
- Data Flow
- Database Design
- Compliance
- Waste Management
- Environmental Systems
- Data Analysis
- Business Requirements
- Technical Artifacts
- Cross-functional Collaboration
- Industry Best Practices
- Data Governance