Data Architect

About the role

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 experi

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Infosys? Share your experience