About Us:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower businesses with agile digital at scale to deliver unprecedented levels of performance and customer satisfaction. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovative ecosystem.
Recognized as the #1 Top Employer in Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence.
▶️Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Role Description:

A Data Architect is responsible for designing, creating, deploying, and managing an organization's data architecture.
They define how data is stored, consumed, integrated, and managed across systems.
The role ensures scalability, performance, and security of enterprise data platforms.
They align data strategy with business goals and enable analytics, reporting, and AI/ML use cases.
This role requires strong expertise in modern data platforms, cloud, and data governance.
Location: Sydney, Australia
Salary: AUD 150,742– 171,215 Annual Gross
Please Note: - The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes
Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to connect with your recruiter to learn more about how this works in practice.
Roles and Responsibilities:
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• Design and implement enterprise-level data architecture solutions

• Define data models (conceptual, logical, physical) for business requirements

• Lead data platform architecture across cloud and on-prem systems

• Ensure data integration across multiple sources (ETL/ELT pipelines)

• Establish best practices for data governance, security, and compliance

• Collaborate with stakeholders to align data strategy with business needs

• Architect scalable solutions for big data and real-time processing

• Evaluate and recommend tools, technologies, and frameworks

• Define data storage solutions (data lakes, warehouses, lakehouses)

• Ensure high data quality, consistency, and performance optimization

• Mentor engineering teams and provide technical leadership

• Support analytics, BI, and AI/ML initiatives with robust data design

• Strong expertise in data architecture and data modeling

• Hands-on experience with cloud platforms (Azure/AWS/GCP)

• Experience with ETL/ELT design and data pipeline architecture

• Knowledge of data warehousing and big data frameworks

• Strong understanding of data governance and data security

• Experience with Databricks / Spark / Delta Lake

• Knowledge of real-time processing (Kafka, Streaming frameworks)

• Exposure to AI/ML data pipelines and feature engineering

• Experience in industry domains (Telecom, Banking, etc.)

• Familiarity with data mesh / modern data architecture patterns

• 14+ years of overall IT experience

• Extensive experience in data engineering and architecture roles

• Bachelor’s or Master’s degree in Computer Science / IT / related field

• Preferred certifications:

• Azure Data Architect / AWS Data Analytics

• Databricks Certified Associate/Professional

• TOGAF (optional but valuable)

• Cloud Platforms: Azure (ADF, Synapse), AWS (Redshift, Glue), GCP

• Big Data: Spark, Hadoop, Databricks

• Data Warehousing: Snowflake, Redshift, Azure Synapse

• Data Integration: Informatica, Talend, Data Factory

• Streaming & BI: Kafka, Power BI, Tableau

• Income Protection Insurance
• Paid Parental and Volunteer leaves
• Employee Assistance Program (EAP)
• Flexible working arrangements (hybrid, reviewed case-by-case basis)
• Health Insurance Discount and Well-being Program
• Access to Fitness and Gym Memberships
• Salary packaging and novated leasing