Position Summary
Data Architect responsible for designing, creating, deploying, and managing an organization's data architecture. The role defines how data is stored, consumed, integrated, and managed across systems, ensures scalability, performance, and security of enterprise data platforms, aligns data strategy with business goals, and enables analytics, reporting, and AI/ML use cases. Strong expertise in modern data platforms, cloud, and data governance is required.
Location
Sydney, Australia
Salary
AUD 150,742 – 171,215 Annual Gross
Roles and Responsibilities
* 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
Essential Skills
* 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 Skills
* 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 and modern data architecture patterns
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, or related field
* Preferred certifications: Azure Data Architect, AWS Data Analytics, Databricks Certified Associate/Professional, TOGAF (optional)
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
Benefits
* 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
Equal Opportunity Employer Statement
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.
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