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Data Engineer → Data Architect

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)
  • Cohort: 20–25
  • Investment: USD $12,000
  • Cohort Starting Date:
  • Outcome: Data Engineering Lead / Data Architect
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Know more about Advanced Program in Data Engineering

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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.

Program overview video

  • 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

By submitting this form, you agree to receive Email & SMS communications related to memberships, events, programs and courses at Global Institute of Artificial Intelligence.

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)
Career Outcome: Data Engineering Lead / Data Architect

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
Career Outcome: Job-ready Data Engineer

Why Choose This Program

  • Practical Skills:: Real-world portfolio projects build employer confidence.
  • Mentorship:: One-on-one guidance from expert data engineers (3 sessions included).
  • Career Coaching:: Resume help, LinkedIn optimization, mock interviews, and 6 months job search support.
  • AI Ethics:: Learn responsible AI, compliance, privacy, and integrity skills to stand out at interview.
  • Australian Market:: Curriculum aligned to local employer needs.
  • 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
LinkedIn-ready Verifiable Official GlofAI

Voices From Our Alumni Network

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

Surekha Gaikwad

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."

Surekha Gaikwad
Graduate, AI Engineering Mentorship

Investment & Next Steps

Seats are limited to maintain quality mentorship and peer support.

USD $12,000 • all inclusive
  • 24 weeks of structured learning
  • 18+ projects + 3 capstone
  • Multi-cloud hands-on labs
  • Digital certificate + badge
  • 9-month career support
Apply Now Talk to an Advisor
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
Check Eligibility

Frequently Asked Questions

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.

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.

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.

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.

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.

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.

Ready to launch your data career?

Apply now or talk to an advisor. Seats are limited.

Start Application
Phone : 1800 434 008
Email : info@glofai.com.au
Cohort Size
20–25
Investment
USD $12,000
Outcome
Data Engineering Lead / Data Architect
Format
Live Online