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Academy  β€Ί  Programs  β€Ί  Advanced Program in Data Engineering
Data Engineer β†’ Data Architect Data Engineering Lead / Data Architect

Advanced Program in Data Engineeringβ„’

A hands-on 24-week program covering real-time systems, multi-cloud architectures, CI/CD automation, governance, and DataOps/MLOps.

24
weeks (Intensive)
6+
portfolio outcomes:
20–25
per cohort
Data Engineering Lead / Data Architect
target role
Apply Now Download Brochure 1800 434 008
Portfolio Outcomes: 6+
Professional Certificate Shareable digital badge (Open Badge standard)
Program Support 24/7
Career support Resume reviewed by industry experts
The gap this closes

Why mid-career data professionals get stuck β€” 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.

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.

Guided projects that build a complete enterprise-scale architecture portfolio.

Unclear architect/lead expectations

Professionals don’t know the skills required for senior roles.

Role-readiness matrix and competency framework mapped to industry standards.

Low confidence presenting designs

Many struggle to communicate solutions to senior stakeholders.

Presentation practice, architecture reviews, and communication coaching.
Curriculum@if(!empty($duration)) Β· 24 weeks@endif

Program curriculum

Live sessions, hands-on labs, and a project each week. Expand any week for detail.

WK16

Professional Certificate in Data Engineering

Understand data-engineering roles, pipelines, and data lifecycles. - Learn basic SQL for q...
Data Engineering Foundations & SQL Basics Β· Advanced SQL & Relational Modeling Β· Python for Data Engineering Β· Apache Spark Basics Β· Real-Time Data & Cloud Infrastructure Β· SQL on Databricks (Community Edition) & Capstone Project
WK712

Executive Program in Data Engineering

Apply all Databricks concepts (Spark, Delta Lake, SQL, Workflows, Storage). - Build a comp...
Distributed Data Processing Fundamentals – Apache Spark Β· Azure Databricks Fundamentals Β· Azure Databricks – Delta Lake Β· park Streaming & Kafka Integration+Capstone Project
WK13

Azure Data Factory (ADF)
Azure Data Factory Fundamentals Β· Data Ingestion Β· Data Transformations Β· ADLS Gen2 (Azure Data Lake Storage Gen2) Β· Workflow Orchestration Β· Data Pipelines Β· Dataflows Β· Linked Services Β· Azure SQL Database Β· Triggers
WK14

Azure Synapse Analytics
Introduction to Synapse Β· Data Ingestion & Data Warehousing Β· Big Data Analytics Β· SQL Pools (Dedicated & Serverless) Β· Spark Pools Β· Synapse Studio Β· Data Lake Integration Β· Pipelines Β· On-Demand SQL
WK1516

AWS Cloud Fundamentals & Data Analytics
AWS Fundamentals Β· Core AWS Services: S3, RDS Β· AWS Data Analytics Services : AWS Data Catalog , AWS Lambda ,AWS Glue , AWS Athena Β· Building Data Pipelines using AWS Step Functions (Serverless Orchestration)
WK17

DBT (Data Build Tool) Fundamentals
What is DBT (Data Build Tool) Β· DBT Core & Cloud Overview Β· DBT Models Β· DBT Staging & Intermediate Layers Β· DBT Testing & Documentation Β· DBT Deployment Workflow
WK18

GCP Fundamentals
Introduction to Google Cloud Platform Β· Compute, Storage & Networking Β· BigQuery Basics Β· Cloud Storage Β· IAM (Identity and Access Management) Β· GCP Data Engineering Ecosystem Overview
WK19

Data Modeling
Introduction to Data Modeling Β· Components of Data Models Β· Data Modeling Techniques Β· Dimensional Modeling: Star Schema , Snowflake Schema Β· Slowly Changing Dimensions (SCD) Β· Hands-on Data Model Design
WK20

Data Visualization
Introduction to BI (Business Intelligence) Β· Power BI Dashboard Fundamentals Β· Visuals, Measures, DAX (Data Analysis Expressions) Β· Dashboard Design Β· Real-World BI Dashboard Project
WK21

Database Programming (1 Week)
Stored Procedures Β· Functions Β· Exception Handling Β· Dynamic SQL Β· Table Partitioning Β· Query Optimization Techniques
WK22

Governance & Observability
Data Governance Concepts Β· Data Quality Β· Data Lineage Β· Observability Framework Β· Monitoring Pipelines
WK23

Code Versioning & Deployment
Git Β· GitHub Β· CI/CD Basics Β· Docker Fundamentals
WK24

Capstone Project

Build a production-grade, secure, observable, and cost-aware cloud data platform using Azu...
End-to-End Cloud Data Engineering Pipeline Β· Cloud Architecture Β· Core Technology Stack: Spark + Delta Lake + ADF Β· Documentation & Presentation
Project: Architecture & Components: - Ingestion: Storage: ADLS Gen2 as the canonical storage layer (Bronze/Silver/Gold) using Delta Lake tables. Processing: Azure Databricks (Jobs / Workflows) for PySpark structured streaming & batch ETL. Catalog & Governance: Unity Catalog for central catalog, row/column level security; Azure Key Vault for secrets management. Orchestration: Databricks Workflows + ADF/Synapse Pipelines for cross-service orchestration and scheduling. Serving & Analytics: Databricks SQL endpoint or Synapse Serverless SQL to serve Gold tables; Power BI for dashboards (Direct Query / Import). - CI/CD & Infra as Code: Terraform for infra provisioning (storage, Event Hubs, Databricks workspace), GitHub Actions for CI/CD of notebooks and deployments. Monitoring & Observability: Azure Monitor, Databricks metrics, Great Expectations for data quality checks.
Everything included

Get Hired as "Data Engineering Lead / Data Architect"

Our graduates walk away with

1-on-1 Mentorship

Personal guidance from pro data engineers every two weeks.

Live Office Hours & Community

Weekly group sessions + 24/7 Discord support β€” 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.

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.

Professional Certificate
Professional Certificate
The credential

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
Graduate stories

Voices From Our Alumni Network

Powerful success stories that reflect the value, growth, and real-world outcomes of their journey with us.

Surekha Gaikwad
Video testimonial
Surekha Gaikwad Β· Graduate, AI Engineering Mentorship
β€œGIofAI 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 β€” it empowered me. I’m grateful for the clarity, motivation, and opportunities GIofAI opened for me.”
Surekha Gaikwad Graduate, AI Engineering Mentorship
1 / 4
Apply Now
Investment

One all-inclusive price. Flexible ways to pay.

USD $12,499.00 USD
  • 24 weeks of structured learning
  • 18+ projects + 3 capstone
  • Multi-cloud hands-on labs
  • Digital certificate + badge
  • 9-month career support
Payment When Amount
1 Week 1 USD $3,761.55
2 Week 2 USD $2,298.73
3 Week 3 USD $2,298.73

Scholarships & flexibility

  • Merit & diversity scholarships
  • Pay in full (5% off), 3 instalments
  • Employer‑sponsorship support

Program Support

  • 8Γ— 1-on-1 mentorship sessions (Capped $500 max )
  • Resume + LinkedIn + portfolio reviews
  • Weekly office hours
  • Industry guest lectures
How enrolment works

Enrol in three steps

1

Choose your cohort

Pick an upcoming start date that fits your schedule.

2

Select payment

Pay in full or use an available payment plan at checkout.

3

Start learning

Get access details and join your cohort orientation.

Apply Now Download Brochure
Return on investment

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GIofAI Programs

Return on Investment Calculator

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For illustration purposes only β€” not financial advice.
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  • Results depend on your market, experience, and effort β€” use this as a planning aid.

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Talk to a GIofAI advisor
FAQ

Questions, answered

Who is this Advanced Program best suited for?
This program is designed for mid-career professionals with at least 5+ years of experience in software, data, or analytics roles who want to transition into Data Architect or Data Engineering Lead roles. If you already understand the basics of SQL, coding, and data pipelines and now want to move to architecture and leadership, this is for you.
What are the prerequisites to join?
You should have: At least 3–5 years in IT, data engineering, BI, or analytics roles Working knowledge of SQL and at least one programming language (Python preferred) Basic understanding of cloud or on-prem data platforms You do not need to be a Data Architect already – we help you bridge that gap.
How many hours per week should I plan for?
Most learners dedicate 8–12 hours per week. This includes live sessions, self-paced content, and hands-on project work. Some weeks (especially around capstone projects) may require slightly more time, depending on your pace and familiarity with the tools.
Is this program fully online and live?
Yes. The program is delivered 100% online with a mix of: Live, instructor-led sessions Hands-on labs and projects Recorded content and templates you can revisit All live sessions are recorded so you can catch up if you miss one due to work or personal commitments.
Will this guarantee me a Data Architect / Data Engineering Lead job?
No program can ethically guarantee a job. What we do provide is: A structured 24-week roadmap to architect / lead skills Portfolio-ready projects showcasing end-to-end architectures 1-on-1 mentorship, mock interviews, and salary strategy Support in positioning yourself for $140k–$180k roles (depending on market and experience) Outcomes depend on your effort, background, and how actively you implement the guidance.
Do you offer scholarships or payment plans?
Yes. We offer: Merit and diversity scholarships for selected learners Flexible payment options – pay in full (with discounts) or via 3 instalments Support for employer sponsorship with official fee breakdown and program outline When you apply, our team will walk you through the best option based on your situation.

Launch your career this cohort.

A hands-on 24-week program covering real-time systems, multi-cloud architectures, CI/CD automation, governance, and DataOps/MLOps.

Start Application Download Brochure
Call 1800 434 008 Β· Email info@glofai.com.au