SQL Architect
- Canada
Contract
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Job details
- Job type
- Contract
- Posting language
- English
- Posted
Original job description
We are seeking an experienced Senior SQL Architect to lead the design, optimization, governance, and evolution of enterprise database platforms. The ideal candidate will have deep expertise in Microsoft SQL Server architecture, database design, performance tuning, data modeling, and cloud-based data solutions.
Key Responsibilities
- Design and maintain enterprise database architectures and logical/physical data models.
- Optimize complex SQL queries, stored procedures, indexing, and database performance.
- Design scalable OLTP and data warehouse solutions.
- Lead ETL/ELT architecture, data integration, and database migration initiatives.
- Establish database security, governance, backup, recovery, and compliance standards.
- Design high-availability and disaster recovery solutions.
- Conduct architecture reviews, troubleshoot critical database issues, and perform root-cause analysis.
- Provide technical leadership and mentorship to DBAs, developers, data engineers, and BI teams.
- Collaborate with business stakeholders and enterprise architects to deliver scalable data solutions.
Required Qualifications
- Bachelor's degree in Computer Science, IT, Engineering, or a related field.
- 10+ years of experience in database development, administration, or data architecture.
- 5+ years of experience in database architecture or technical leadership.
- Expert-level knowledge of Microsoft SQL Server.
- Strong experience with enterprise-scale OLTP and data warehouse solutions.
- Expertise in SQL performance tuning, indexing, partitioning, and database internals.
- Experience with Kimball, Data Vault, or dimensional data modeling.
- Strong understanding of database security, governance, and compliance.
- Excellent communication, problem-solving, and stakeholder management skills.
Preferred Qualifications
- Experience with Azure SQL, Azure Synapse Analytics, Microsoft Fabric, Snowflake, or Databricks.
- Experience leading cloud migration initiatives.
- Knowledge of Data Lakehouse and Data Mesh architectures.
- Exposure to AI/ML and advanced analytics platforms.
- Microsoft Azure Data Engineer or Database Administrator certifications.
- Experience working in Agile environments.
More about this job
Responsibilities
Design, optimize, govern, and evolve enterprise database platforms, including SQL Server architectures, data models, OLTP and data warehouse solutions, and ETL/ELT and migration initiatives. Establish security, compliance, backup, recovery, high-availability, and disaster-recovery standards while troubleshooting critical issues, leading architecture reviews, mentoring technical teams, and collaborating with stakeholders.
Requirements
Requires a bachelor's degree in a related field, 10+ years of database development, administration, or architecture experience, and 5+ years in database architecture or technical leadership. Candidates need expert Microsoft SQL Server knowledge and strong experience in enterprise OLTP and data warehousing, performance tuning, data modeling, security, governance, communication, and stakeholder management.
Skills
- Microsoft SQL Server
- Database Architecture
- Database Design
- SQL Performance Tuning
- Data Modeling
- OLTP
- Data Warehousing
- ETL/ELT
- Data Integration
- Database Migration
- Database Security
- Database Governance
- Backup and Recovery
- High Availability and Disaster Recovery
- Cloud Data Solutions
- Technical Leadership
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Management & Leadership
- Finance & Accounting
Keywords
- Microsoft SQL Server
- Azure SQL
- Azure Synapse Analytics
- Microsoft Fabric
- Snowflake
- Databricks
- SQL
- Database Architecture
- Database Administration
- Database Development
- Data Architecture
- OLTP
- Data Warehousing
- ETL/ELT
- Data Integration
- Database Migration
- SQL Performance Tuning
- Indexing
- Partitioning
- Database Internals
- Kimball
- Data Vault
- Dimensional Data Modeling
- Database Security
- Data Governance
- Compliance
- High Availability
- Disaster Recovery
- Data Lakehouse
- Data Mesh