Description

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:
T

• 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

Skill / Competencies / Experience:
ESSENTIAL

• 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

PREFERRED

• 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

ADDITIONAL

Education & Certifications

• 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)

Tools & Technologies

• 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

In addition to compensation aligned with your role, you'll have access to a wide range of benefits that support your health, career growth, and overall well-being (AU)

• 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

Our recruitment and selection process is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.

Hear from our recruiter on their experience working with Infosys as an Employer
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email [email protected] or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

"All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."