Advanced Data Engineering Architecture Course

Name: Advanced Data Engineering Architecture and Operations Training Course
Availability: InStock

Design and operate reliable data platforms through applied architecture, pipeline, governance, and incident-response methods.

Advanced Data Engineering Architecture Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Tokyo, Nairobi, Rome, Paris, Munich, San Diego and more
Next session: 12 – 16 October 2026, Tokyo
Average fee: 5,800 €

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Advanced Data Engineering Architecture and Operations Training Course

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Overview

Advanced Data Engineering Architecture and Operations Training Course is a five-day advanced course for data engineering, analytics platform, cloud data, and technical leadership functions who leave with a Production Data Platform Architecture and Operations Pack. Participants connect pipeline design, batch and streaming ingestion, lakehouse and warehouse patterns, orchestration, data quality, observability, security, cost controls, and incident response. Agile Leaders Training Center develops practical advanced data engineering architecture and operations capability.

Who Should Attend

Data engineering functions responsible for production ingestion and transformation pipelines
Analytics platform functions responsible for shared processing and storage services
Cloud data functions responsible for scalable and cost-controlled workloads
Technical leadership functions responsible for architecture decisions and operating standards
Reliability functions responsible for monitoring, recovery, and incident coordination

The course assumes participants can build data transformations, use cloud data services, read pipeline logs, and work with version control, and leaves out introductory coding, basic database administration, and certification exam preparation.

Departments and Industries

The course supports departments and industries that design and operate production data platforms.

Banking data platforms and risk analytics
Retail customer and supply-chain data engineering
Healthcare analytics infrastructure
Manufacturing telemetry and operations data
Telecommunications network data services

Learning Objectives

By the end of this course, participants will be able to:

Evaluate warehouse, lakehouse, batch, and streaming architecture choices
Build governed ingestion and transformation pipelines
Apply orchestration, retry, and dependency patterns
Use data quality controls and lineage evidence
Diagnose reliability, security, performance, and cost issues
Build a production data platform operations pack

Course Agenda

Day 1: Design the Platform Architecture

Data Platform Capability and Workload Map
Warehouse and Lakehouse Architecture Decision Record
Batch and Streaming Processing Selection Matrix
Data Domain Ownership and Interface Canvas
Storage Format and Lifecycle Decision Guide

Day 2: Engineer Ingestion and Transformation

Source-to-Target Pipeline Design Blueprint
Change Data Capture and Incremental Load Pattern
Schema Evolution and Compatibility Contract
Idempotent Transformation and Replay Method
Pipeline Versioning and Deployment Control

Day 3: Orchestrate Quality and Reliability

Directed Acyclic Graph Dependency Model
Retry Backoff and Failure Routing Policy
Data Quality Expectation and Quarantine Rule Set
Lineage Evidence and Reconciliation Record
Service-Level Indicator and Error Budget Dashboard

Day 4: Govern Production Operations

Least-Privilege Data Access Matrix
Encryption and Secret Management Control Map
Pipeline Observability Signal Catalog
Workload Performance and Cost Review
Data Incident Triage and Recovery Runbook

Day 5: Practice Platform Operations

Exercise: Compare Warehouse and Lakehouse Decisions
Exercise: Reconcile an Incremental Ingestion Pipeline
Exercise: Diagnose an Orchestration Failure
Exercise: Prioritize Reliability and Cost Corrections
Capstone: Production Data Platform Architecture and Operations Pack

Practical Exercises

The course uses suggested activities based on banking, retail, healthcare, manufacturing, and telecommunications data workloads.

Suggested activity: select architecture patterns from workload, latency, governance, and recovery requirements.
Suggested activity: design an idempotent pipeline with schema controls, quality expectations, and reconciliation evidence.
Suggested activity: analyze logs, metrics, dependencies, access controls, and cost signals during a production incident.
Suggested activity: assemble architecture decisions, operating controls, and recovery actions into the final pack.

FAQs

Who suits advanced data engineering architecture training, and what does it assume?

Data engineering, platform, cloud data, reliability, and technical leadership functions suit the training; it assumes practical experience with transformations, data services, pipeline logs, and version control.

How does advanced data engineering differ from introductory data engineering?

Advanced data engineering focuses on architecture tradeoffs, production reliability, orchestration, observability, governance, cost, and incident recovery, while introductory training focuses on basic storage, transformation, and pipeline construction.

When should data engineers choose batch or streaming processing?

Data engineers should compare latency needs, event volume, ordering, replay, state management, source behavior, operating complexity, and cost before selecting batch, streaming, or a combined pattern.

How should production data pipeline reliability be measured?

Production reliability should be measured through freshness, completeness, accuracy, availability, latency, failure rate, recovery time, lineage coverage, and the service indicators agreed with data consumers.

What belongs in a data engineering incident runbook?

A data engineering incident runbook should define detection signals, severity, ownership, containment, replay decisions, reconciliation, stakeholder communication, recovery validation, and follow-up control improvements.

Conclusion

Participants take back a Production Data Platform Architecture and Operations Pack linking architecture decisions, pipelines, orchestration, quality, lineage, observability, security, cost, and incident recovery. It changes disconnected engineering choices into an operating model for production data services. The pack supports coordinated decisions across engineering, platform, reliability, governance, and business data functions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Cape town	Week 30, 2027 1 – 5 August 2027	5 Days	Onsite	€4,500
Jakarta	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€5,700
Tbilisi	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€5,000
Madrid	Week 34, 2027 23 – 27 August 2027	5 Days	Onsite	€5,700
Athens	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€6,700
Porto	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€5,700
Kuala Lumpur	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,200
Abu Dhabi	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€4,700
Manama	Week 36, 2027 12 – 16 September 2027	5 Days	Onsite	€4,700
Dubai	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€4,500
London	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€5,700
Doha	Week 38, 2027 26 – 30 September 2027	5 Days	Onsite	€5,500
Langkawi	Week 39, 2027 3 – 7 October 2027	5 Days	Onsite	€6,000
Phuket	Week 40, 2027 10 – 14 October 2027	5 Days	Onsite	€6,000

Frequently asked questions

What does this course cover?

OverviewAdvanced Data Engineering Architecture and Operations Training Course is a five-day advanced course for data engineering, analytics platform, cloud data, and technical leadership functions who leave with a Production Data Platform Architecture and Operations Pack. Participants connect pipeline design, batch and streaming ingestion, lakehouse and w…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Advanced Data Engineering Architecture Course