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Key skills for this role
• 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.
• 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).
• 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).
• Excellent customer-facing skills
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• Excellent written and verbal communication skills
• Strong attention to detail and outstanding analytical and problem-solving skills.
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.
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).
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).
Excellent customer-facing skills
Excellent written and verbal communication skills
Strong attention to detail and outstanding analytical and problem-solving skills.
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
Provides IT consulting, software development, and business outsourcing services.
Visit company websiteJobs and hiring trendsAUD 129311-142018 yearly / year
Full-time
Senior · 12+ years experience
Hybrid
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