Data Architect Salary in Australia during 2024

Salary details

The average Data Architect salary lies between USD 93,400 and USD 193,000 in Australia. 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: Dec. 15, 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 | 2036 jobs Engineering | 1423 jobs Security | 1368 jobs SQL | 1329 jobs AWS | 1129 jobs Data management | 1085 jobs Azure | 1073 jobs Data governance | 1056 jobs Computer Science | 964 jobs ETL | 943 jobs Python | 892 jobs Pipelines | 805 jobs Data quality | 783 jobs Agile | 747 jobs Big Data | 725 jobs GCP | 643 jobs Machine Learning | 642 jobs Spark | 605 jobs Snowflake | 599 jobs Databricks | 593 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 | 1393 jobs Health care | 871 jobs Flex hours | 679 jobs Competitive pay | 537 jobs Flex vacation | 386 jobs Insurance | 372 jobs Startup environment | 371 jobs Equity / stock options | 366 jobs Team events | 365 jobs Salary bonus | 322 jobs Parental leave | 321 jobs Medical leave | 284 jobs 401(k) matching | 216 jobs Wellness | 216 jobs Fitness / gym | 84 jobs Home office stipend | 75 jobs Transparency | 71 jobs Gear | 61 jobs Unlimited paid time off | 58 jobs Conferences | 55 jobs

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

The salary composition for a Data Architect in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In Australia, this base salary can range from 70% to 85% of the total compensation.

In addition to the base salary, bonuses are a common component, often tied to individual performance, team performance, or company profitability. These bonuses can account for 10% to 20% of the total compensation. Larger companies or those in high-growth industries like technology or finance may offer more substantial bonuses.

Additional remuneration may include stock options, especially in tech startups or publicly traded companies, and benefits such as health insurance, retirement contributions, and professional development allowances. These can make up the remaining 5% to 10% of the total compensation package.

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 and methodologies in AI/ML and data science. Specializing in niche areas can make you more valuable.

• Leadership Roles: Aim for leadership or managerial roles, such as a Chief Data Officer or Head of Data Science, which typically offer higher salaries.

• Industry Transition: Consider moving to industries that pay higher salaries for data architects, such as finance, healthcare, or technology.

• Networking and Visibility: Increase your professional visibility through networking, speaking at conferences, or publishing articles. This can lead to opportunities with higher pay.

• Negotiation: Don’t hesitate to negotiate your salary during performance reviews or when offered a new position.

Educational Requirements for a Data Architect

Most Data Architect positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. However, a master's degree or Ph.D. can be advantageous, especially for roles in research-intensive industries or academia. Advanced degrees often provide a deeper understanding of complex data systems and analytical techniques, which are crucial for high-level data architecture roles.

Helpful Certifications for Data Architects

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable 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 validate your skills in data management, cloud architecture, and enterprise architecture, making you a more competitive candidate.

Experience Required for a Data Architect Role

Typically, a Data Architect role requires several years of experience in data management, data modeling, and database design. Experience in software development, data warehousing, and business intelligence is also beneficial. Many employers look for candidates with 5 to 10 years of relevant experience, including experience in leading data projects and working with cross-functional teams.

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