Advanced Program in Data Engineering™
A hands-on 24-week program covering real-time systems, multi-cloud architectures, CI/CD automation, governance, and DataOps/MLOps.
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Duration: 24 Weeks (Intensive)
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Cohort: 20–25
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Investment: USD $12,000
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Cohort Starting Date: Jan 19 2026
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Outcome: Data Engineering Lead / Data Architect
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Know more about Advanced Program in Data Engineering
Why mid-career data professionals get stuck — and how we help you move forward
Built around the real capability gaps that prevent professionals from stepping into senior and architect roles.
Limited exposure to architecture
Mid-career professionals rarely get the chance to work on platform design.Our Solution
- Structured roadmap focused on real architecture and platform-design skills.
No enterprise-grade portfolio
Lack of proof of end-to-end design blocks senior role progression.Our Solution
- Guided projects that build a complete enterprise-scale architecture portfolio.
Unclear architect/lead expectations
Professionals don’t know the skills required for senior roles.Our Solution
- Role-readiness matrix and competency framework mapped to industry standards.
Low confidence presenting designs
Many struggle to communicate solutions to senior stakeholders.Our Solution
- Presentation practice, architecture reviews, and communication coaching.
Your complete pathway to Data Architect & Engineering Lead roles
Everything you need to accelerate into senior and architect-level roles
Live Architecture Workshops
Interactive deep-dive sessions where experts walk you through real platform architectures, design decisions, and trade-offs.
Enterprise-Scale Capstone Projects
Hands-on projects that help you build architect-level artefacts like solution designs, architecture diagrams, and decision logs.
Multi-Cloud & Modern Data Stack Training
Structured labs across AWS, Azure, GCP, Snowflake, and Databricks so you gain the breadth needed for senior roles.
Leadership & Communication Coaching
Guided practice sessions to strengthen stakeholder communication, design presentations, and executive-level confidence.
Summary: Understand data-engineering roles, pipelines, and data lifecycles. - Learn basic SQL for querying structured data.
- Topics: Data Engineering Foundations & SQL Basics , Advanced SQL & Relational Modeling , Python for Data Engineering , Apache Spark Basics , Real-Time Data & Cloud Infrastructure , SQL on Databricks (Community Edition) & Capstone Project
Summary: Apply all Databricks concepts (Spark, Delta Lake, SQL, Workflows, Storage). - Build a complete production-grade data engineering pipeline.
- Topics: Distributed Data Processing Fundamentals – Apache Spark , Azure Databricks Fundamentals , Azure Databricks – Delta Lake , park Streaming & Kafka Integration+Capstone Project
- Topics: Azure Data Factory Fundamentals, Data Ingestion , Data Transformations, ADLS Gen2 (Azure Data Lake Storage Gen2) , Workflow Orchestration , Data Pipelines, Dataflows, Linked Services , Azure SQL Database , Triggers
- Topics: Introduction to Synapse , Data Ingestion & Data Warehousing, Big Data Analytics , SQL Pools (Dedicated & Serverless) , Spark Pools , Synapse Studio , Data Lake Integration, Pipelines, On-Demand SQL
- Topics: AWS Fundamentals , Core AWS Services: S3, RDS, AWS Data Analytics Services : AWS Data Catalog , AWS Lambda ,AWS Glue , AWS Athena , Building Data Pipelines using AWS Step Functions (Serverless Orchestration)
- Topics: What is DBT (Data Build Tool), DBT Core & Cloud Overview , DBT Models, DBT Staging & Intermediate Layers, DBT Testing & Documentation , DBT Deployment Workflow
- Topics: Introduction to Google Cloud Platform , Compute, Storage & Networking, BigQuery Basics , Cloud Storage , IAM (Identity and Access Management) , GCP Data Engineering Ecosystem Overview
- Topics: Introduction to Data Modeling, Components of Data Models , Data Modeling Techniques , Dimensional Modeling: Star Schema , Snowflake Schema , Slowly Changing Dimensions (SCD) , Hands-on Data Model Design
- Topics: Introduction to BI (Business Intelligence) , Power BI Dashboard Fundamentals , Visuals, Measures, DAX (Data Analysis Expressions), Dashboard Design , Real-World BI Dashboard Project
- Topics: Stored Procedures, Functions , Exception Handling, Dynamic SQL , Table Partitioning , Query Optimization Techniques
- Topics: Data Governance Concepts , Data Quality , Data Lineage , Observability Framework , Monitoring Pipelines
- Topics: Git , GitHub , CI/CD Basics , Docker Fundamentals
- Topics: End-to-End Cloud Data Engineering Pipeline, Cloud Architecture, Core Technology Stack: Spark + Delta Lake + ADF, Documentation & Presentation
Portfolio Outcomes
- Portfolio with enterprise-scale architectures
- Guided presentations & architecture reviews
- 24-week roadmap to architect/lead
- Salary strategy for $140k–$180k role
- Multi-cloud exposure (AWS, Azure, Snowflake, Databricks, Kafka)
Program Support & Career Services
- 8Ă— 1-on-1 mentorship sessions (Capped $500 max )
- Resume + LinkedIn + portfolio reviews
- Weekly office hours
- Industry guest lectures
- 24/7 community
- 9 months post-program support
Why Choose This Program
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Practical Skills:: Real-world portfolio projects build employer confidence.
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Mentorship:: One-on-one guidance from expert data engineers (3 sessions included).
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Career Coaching:: Resume help, LinkedIn optimization, mock interviews, and 6 months job search support.
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AI Ethics:: Learn responsible AI, compliance, privacy, and integrity skills to stand out at interview.
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Australian Market:: Curriculum aligned to local employer needs.
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Local Hiring Practices:: STAR selection criteria, ATS-ready Aussie resume format, and recruiter expectations.
After Week 24, upgrade to :
- Executive Leadership Program — (1 year) — upgrade to accelerate toward Head of Data — $13,000
Get Hired as "Data Engineering Lead / Data Architect"
Our graduates walk away with
- Resume reviewed by industry experts
- Portfolio proven to impress recruiters
- GlofAI certification trusted by employers
- Direct job leads and alumni network access
- Confidence from mock interviews & coaching
All the Support You Need
Mentors, community, toolchains, and job launch support — all built in.
1-on-1 Mentorship
Personal guidance from pro data engineers every two weeks.
Live Office Hours & Community
Weekly group sessions + 24/7 Discord support — never get stuck alone.
Real Employer Toolkits
Work hands-on with AWS, Azure, Snowflake, Databricks, Docker, dbt, Airflow & more.
Career Launch Services
Resume, LinkedIn, portfolio workshops, mock interviews, and job leads included.
Professional Certificate
Earn an industry-recognized credential and a digital badge you can add to your LinkedIn within minutes of completion.
- Shareable digital badge (Open Badge standard)
- One-click verification for recruiters and hiring managers
- Certificate ID & QR for resumes and portfolios
- Aligned to Australian data engineering job competencies
Voices From Our Alumni Network
Powerful success stories that reflect the value, growth, and real-world outcomes of their journey with us.
GIofAI has completely transformed the way I understand and use AI in my professional life. The guidance, mentorship, and structured learning made complex concepts feel simple and achievable. I felt supported at every step, and the hands-on approach helped me develop real confidence in applying AI tools. This program didn’t just teach me — it empowered me. I’m grateful for the clarity, motivation, and opportunities GIofAI opened for me."
Investment & Next Steps
Seats are limited to maintain quality mentorship and peer support.
- 24 weeks of structured learning
- 18+ projects + 3 capstone
- Multi-cloud hands-on labs
- Digital certificate + badge
- 9-month career support
Scholarships & Payment Plans
We aim to keep the program accessible. Limited scholarships and flexible plans are available.
- Merit & diversity scholarships
- Pay in full (5% off), 3 instalments
- Employer‑sponsorship support
Frequently Asked Questions
Ready to launch your data career?
Apply now or talk to an advisor. Seats are limited.