Data Architect Salary in Canada during 2024

Salary details

The average Data Architect salary lies between USD 107,730 and USD 171,000 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Data Architect roles

The three most common job tag items assiciated with Data Architect job listings are Architecture, Engineering and Security. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Architecture | 1791 jobs Engineering | 1252 jobs Security | 1177 jobs SQL | 1161 jobs AWS | 981 jobs Data management | 954 jobs Azure | 928 jobs Data governance | 915 jobs Computer Science | 854 jobs ETL | 812 jobs Python | 777 jobs Pipelines | 694 jobs Data quality | 682 jobs Agile | 652 jobs Big Data | 623 jobs GCP | 562 jobs Machine Learning | 539 jobs Spark | 528 jobs Snowflake | 514 jobs Databricks | 498 jobs

Top 20 Job Perks/Benefits for Data Architect roles

The three most common job benefits and perks assiciated with Data Architect job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 1208 jobs Health care | 760 jobs Flex hours | 580 jobs Competitive pay | 468 jobs Flex vacation | 343 jobs Startup environment | 328 jobs Insurance | 327 jobs Equity / stock options | 313 jobs Team events | 313 jobs Parental leave | 283 jobs Salary bonus | 272 jobs Medical leave | 255 jobs 401(k) matching | 197 jobs Wellness | 192 jobs Fitness / gym | 70 jobs Home office stipend | 65 jobs Transparency | 60 jobs Unlimited paid time off | 53 jobs Fertility benefits | 52 jobs Gear | 49 jobs

Salary Composition for a Data Architect in AI/ML/Data Science

The salary composition for a Data Architect in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation, especially in high-growth industries.

Regional differences also play a role; for instance, salaries in major tech hubs like Toronto or Vancouver might be higher compared to smaller cities. Industry-specific factors can influence compensation as well, with sectors like finance or healthcare potentially offering higher salaries due to the critical nature of data management in these fields. Company size can also impact salary composition, with larger companies often providing more comprehensive benefits and bonuses.

Steps to Increase Salary from a Data Architect Position

To increase your salary from a Data Architect position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies such as cloud computing, big data analytics, and machine learning. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining advanced certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements for a Data Architect

Most Data Architect positions require at least a bachelor's degree in computer science, information technology, or a related field. However, a master's degree in data science, computer engineering, or business administration can be highly beneficial and is often preferred by employers. Advanced degrees can provide a deeper understanding of complex data systems and enhance your problem-solving skills, making you a more competitive candidate.

Helpful Certifications for Data Architects

Certifications can be a valuable asset for Data Architects, showcasing your expertise and dedication to the field. Some common and beneficial certifications include:

• Certified Data Management Professional (CDMP)
• AWS Certified Solutions Architect
• Google Professional Data Engineer
• Microsoft Certified: Azure Solutions Architect Expert
• TOGAF (The Open Group Architecture Framework) Certification

These certifications can help you stay current with industry standards and technologies, making you more attractive to potential employers.

Experience Required for a Data Architect Role

Typically, a Data Architect role requires several years of experience in data management, database design, and data warehousing. Employers often look for candidates with 5-10 years of experience in related roles such as data analyst, database administrator, or data engineer. Experience with specific technologies and platforms, such as SQL, NoSQL databases, and cloud services, is also highly valued.

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