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SQL Architect

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Remote

SQL Architect

Ardent SoftSol

SQL Architect

Skills

SQL QueriesData EngineeringMicrosoft SQL ServerSnowflakeDatabricksData AnalysisMachine LearningAIComplianceAzure

2 days ago

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Important information


Contract type:

Freelance / Contract

Salary:

CA$80 – CA$85 / hour

Location:

Toronto, ON, Canada

Work mode:

Remote

Published on:

20 October 2026

What they need


Role Name: SQL Architect

Work Site: Toronto, CA (Remote)

Start date: Immediate availability.

Background check MANDATORY

Request ID: LVTD5N

## Position Summary

We are seeking an experienced **Senior SQL Architect** to lead the design, optimization, governance, and evolution of enterprise data platforms. The ideal candidate will possess deep expertise in SQL Server architecture, database design, performance tuning, data integration, and cloud-based data solutions. This role will partner closely with business stakeholders, data engineers, BI developers, application teams, and enterprise architects to ensure scalable, secure, and high-performing data platforms that support critical business operations and analytics.

## Key Responsibilities

### Data Architecture & Design

  • Design and maintain enterprise-wide database architectures and data models.

  • Develop logical and physical data models aligned with business and technology strategies.

  • Establish database standards, naming conventions, and data governance practices.

  • Lead architecture reviews and recommend improvements to existing database environments.

  • Design high-availability and disaster recovery solutions.

### Performance & Optimization

  • Analyze and optimize complex SQL queries, stored procedures, and ETL processes.

  • Monitor database performance and implement tuning strategies to improve reliability and scalability.

  • Resolve performance bottlenecks across transactional and analytical workloads.

  • Develop capacity planning and growth strategies for enterprise databases.

### Data Engineering & Integration

  • Design and oversee ETL/ELT frameworks and data integration processes.

  • Collaborate with data engineering teams to support data lake, data warehouse, and analytics initiatives.

  • Architect solutions for ingesting, transforming, and serving large-scale datasets.

  • Support data migration projects between on-premises and cloud environments.

### Governance & Security

  • Define and enforce database security, compliance, and access control standards.

  • Ensure data platforms meet regulatory and organizational requirements.

  • Establish backup, recovery, auditing, and monitoring procedures.

  • Implement data quality and master data management practices.

### Technical Leadership

  • Provide technical leadership and mentorship to DBAs, developers, data engineers, and BI teams.

  • Review database designs, code, and deployment plans.

  • Lead root-cause analysis and remediation efforts for critical incidents.

  • Evaluate emerging database technologies and recommend adoption strategies.

## Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.

  • 10+ years of experience in database development, administration, or data architecture.

  • 5+ years of experience in a database architecture or technical leadership role.

  • Expert-level knowledge of Microsoft SQL Server.

  • Extensive experience designing enterprise-scale OLTP and data warehouse solutions.

  • Strong understanding of database internals, indexing strategies, partitioning, and query optimization.

  • Experience with data modeling methodologies (Kimball, Data Vault, dimensional modeling).

  • Strong understanding of data governance, security, and compliance principles.

  • Excellent communication and stakeholder management skills.

## Preferred Qualifications

  • Experience with Azure SQL, Synapse Analytics, Microsoft Fabric, Snowflake, or Databricks.

  • Experience leading cloud migration initiatives.

  • Knowledge of modern data architectures including Data Lakehouse and Data Mesh concepts.

  • Experience supporting AI, machine learning, and advanced analytics data platforms.

  • Microsoft Azure Data Engineer or Database Administrator certifications.

  • Experience working within Agile delivery environments.

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