
MICRO DEGREE
Data Architect Job Program
Data Engineer
100% LIVE Interactive Classes
Data Engineer

100% LIVE Interactive Classes
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Basic Info
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Application closes on:23 May 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
100% Moneyback Guarantee
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Reserve your spot today!
Basic Info
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Application closes on:23 May 2026
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Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

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Available in 4 monthly installments at $938/month
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Curriculum
Duration: 24 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- Setting up Python and choosing an IDE
- Basic syntax and data types
- Variables and operators
- Input/output operations
- Basic string operations
- Writing your first program
- Best practices for code formatting (PEP 8)
Mentors

12+ Years, Ex-Amazon, Startup Founding Team

20+ Years, Ex-Microsoft, Ex-Morgan Stanley

20+ Years, Ex-IBM, Ex-JP Morgan

22+ Years, Principal Engineer, IBM Research
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Basic understanding of SQL and relational databases
Familiarity with at least one programming language (preferably Python)
Foundational knowledge of cloud computing concepts
Experience working with data in a professional or academic setting
Outcomes
Design scalable data architectures using data lake, data warehouse, and lakehouse patterns on Azure
Build end-to-end data pipelines for batch and real-time processing using Azure Data Factory and Azure Databricks
Implement enterprise data modeling techniques including star schema, snowflake schema, and dimensional modeling
Develop ETL/ELT workflows using Apache Spark, Delta Lake, and SQL on Azure Databricks
Architect real-time streaming data solutions using Azure Event Hubs and Azure Stream Analytics
Establish data governance, security, and quality frameworks using Azure Purview and Azure Key Vault
Create interactive dashboards and reports using Power BI for business intelligence and analytics
Deploy and manage cloud data infrastructure using Terraform, Azure DevOps, and Infrastructure-as-Code practices
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Retail Analytics Data Platform
Design and build a cloud-based lakehouse architecture to support a retail company's sales analysis and demand forecasting. Ingest data from multiple sources using Azure Data Factory, transform and model the data using Azure Databricks and Delta Lake, and create interactive Power BI dashboards to drive data-driven business decisions.
IoT-Enabled Smart City Real-Time Monitoring System
Architect a scalable, real-time streaming data solution to collect and analyze sensor data from a smart city IoT network. Utilize Azure Event Hubs for data ingestion, Azure Stream Analytics and Databricks for real-time processing and anomaly detection, and implement governance policies using Azure Purview to ensure data quality and compliance.
Enterprise Data Warehouse for Financial Services
Design and implement a secure enterprise data warehouse for a financial services organization. Build dimensional data models in Azure Synapse Analytics, orchestrate ELT pipelines with Azure Data Factory, enforce data security using Azure Key Vault and role-based access controls, and deliver executive-level reporting dashboards in Power BI.

for successfully completing the 'Data Architect Job Program' course conducted from 05 Dec 2025 to 22 May 2026
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Industry Recognized
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Industry Respect
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Networking
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Opportunities
Attract exciting job prospects and promotions


for successfully completing the 'Data Architect Job Program' course conducted from 05 Dec 2025 to 22 May 2026

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Frequently Asked Questions
Everything you need to know about the course
You should have a basic understanding of SQL and relational databases, familiarity with at least one programming language (preferably Python), and foundational knowledge of cloud computing concepts. Prior experience working with data in a professional or academic setting is recommended but not strictly required.
The 24-week curriculum covers data architecture design patterns (data lakes, warehouses, and lakehouses), data modeling techniques, ETL/ELT pipeline development using Azure Data Factory and Databricks, real-time streaming with Azure Event Hubs and Stream Analytics, data governance with Azure Purview, cloud infrastructure management with Terraform and Azure DevOps, and business intelligence reporting with Power BI.
You should expect to dedicate approximately 15-20 hours per week over the 24-week duration. This includes watching instructional content, completing hands-on labs, working on capstone projects, and engaging with mentors and peers.
You will complete three industry-relevant projects: a retail analytics data platform with a full lakehouse architecture, an IoT real-time monitoring system using streaming data technologies, and an enterprise data warehouse for financial services. These projects simulate real-world scenarios and will form a professional portfolio you can showcase to employers.
Graduates are prepared for roles such as Data Architect, Big Data Architect, Cloud Data Engineer, and Enterprise Data Architect. The program equips you with in-demand Azure cloud data skills, a portfolio of end-to-end projects, and mentorship from industry professionals, all of which significantly strengthen your candidacy in the job market.
You will gain hands-on experience with Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Event Hubs, Azure Stream Analytics, Azure Purview, Power BI, Apache Spark, Delta Lake, SQL, Python, Terraform, and Azure DevOps. These are among the most widely used tools in modern enterprise data architecture.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Data Architect Job Program.
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
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