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Job details
Job Role
Lead Consultant
Work Location
Melbourne
State / Region / Province
Victoria
Country
Australia
Domain
Consulting
Interest Group
Company
Infy Australia
Requisition ID
******BR
About Us:
Infosys is a global leader in next-generation digital services and consulting.
Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities.
We enable clients in 59 countries to navigate their digital transformation.
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI.
We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem.
We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
Visit to see how Infosys (NYSE: INFY) can help you navigate your next.
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.
#TopEmployer**** #ThriveAtInfosys
Role Description:
The Data Engineering is a senior, client-facing role responsible for defining, shaping, and leading enterprise data engineering and data platform solutions for Australian Federal Government clients.
The role has a strong focus on presales leadership, data platform modernization strategy,



and trusted advisory engagement with senior public sector stakeholders.
Location: Melbourne, Australia
Salary: AUD 129,********,018 Annual Gross
Please Note: - The above salary range is only indicative and may be 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:
Own the end-to-end data engineering solution architecture across presales and delivery phases.
Lead discovery, fit-gap, and solution-shaping workshops with Federal Government clients.
Assess existing data platforms and legacy data landscapes and define pragmatic modern data platform adoption and transformation options (cloud data warehousing, lakehouse, and streaming architectures).
Drive and support presales activities including RFP/RFI responses, solution documentation, and executive-level presentations.
Act as a trusted advisor to CDOs, CTOs, SES stakeholders, and program sponsors.
Promote data engineering best-practice and standardization (e.g., medallion architecture, DataOps, CI/CD for data pipelines) to maximize business value and reduce technical debt.
Provide architectural governance and technical design oversight to delivery teams.
Mentor Data Engineers and Solution Architects and contribute to Public Sector Data & AI practice and capability growth.
Technical Expertise & Federal Data Requirements
Deep expertise in modern data engineering: batch and streaming ETL/ELT pipelines, data lakehouse and warehouse architectures (e.g., Databricks, Snowflake, Azure Synapse, BigQuery).




Strong experience with Public Sector data solutions including data governance, master data management, data classification, and data sovereignty requirements.
Understanding of Federal Government data governance frameworks, protective security requirements (PSPF/ISM-aligned), and Australian Government data policy.
Experience designing or advising on high-volume data ingestion, real-time streaming, and data quality/reconciliation solutions.
Strong understanding of legacy-to-cloud data migration strategies, tooling, risks, and adoption approaches (conceptual and advisory).
Experience developing pre-sales prototypes or proof-of-concepts (including GenAI/agentic data pipelines) to support solution validation (desirable).
Essential:
12+ years of data engineering consulting experience, including leadership of large and complex data programs.
Proven experience in data solution architecture and presales for public sector or regulated environments.
Direct experience with Australian Federal Government clients strongly preferred.
Cloud data platform certifications (e.g., Azure, AWS, GCP, Databricks, Snowflake) are desirable.
Ability to obtain or hold an Australian Government Security Clearance (Baseline or higher).
ADDITIONAL
Excellent customer-facing skills
Excellent written and verbal communication skills
Strong attention to detail and outstanding analytical and problem-solving skills.
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)
Versatile 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
Recruitment and Selection Process
#J-*****-Ljbffr

📌 Data Engineering Lead (Melbourne)
🏢 Infosys
📍 Melbourne