Live Online Leadership and Performance in Data Engineering, Databases & ERP Data Training Course
Live online, instructor-led · next cohort Oct 26, 2026 · from USD 1,700
Data teams are often technically strong yet struggle with the leadership questions that decide results: which platform investments matter, how to keep pipelines reliable, how to prioritise requests from finance, operations and analytics, and how to measure the performance of engineers and administrators. Ten days give team leads and managers the tools to answer them. The first half covers technical direction: modern data architecture, warehouses and lakehouses, ETL and ELT pipelines, orchestration, database administration, high availability, backup and recovery, performance tuning, security, and master data and integration for ERP systems such as SAP and Oracle. The second half is about leading performance: service levels, DataOps, observability, incident management, cost control, vendor management, roadmaps, hiring and coaching.
The programme is for heads of data and IT, data engineering managers, database administrators moving into management, ERP data owners, analytics leads and CIO office staff in banks, telecoms, government, manufacturing and utilities. Classroom, online and in-house delivery are available. Participants work with case platforms and metrics, and finish able to define an architecture roadmap, write service level objectives, build a delivery scorecard and lead a data platform review. A CPD-accredited certificate is awarded on completion.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Oct 26, 2026, Nov 23, 2026, Dec 21, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
As reporting, analytics and automation depend ever more heavily on core business systems, the people who run the data estate carry more responsibility than their job titles suggest. A failed overnight load, a corrupted ERP master record or an unnoticed schema change can stop invoicing, distort dashboards and shake confidence in the whole data function. Leaders must therefore combine sound technical judgement with the ability to organise teams, manage demand and show value.
This programme is written for people who already understand data technology and now lead others who build and run it. The technical thread reviews how operational databases, data warehouses, lakes and streaming services fit together, how ERP data is extracted, mapped, cleansed and governed, and which design decisions affect resilience, performance and cost. The leadership thread covers setting direction, translating business demand into a prioritised backlog, defining service levels and error budgets, running incident reviews, applying DataOps practices, managing suppliers and cloud spend, and developing a strong engineering culture.
The final days turn learning into practice through an integrated review of a case platform. Participants analyse its weaknesses, propose a roadmap and present performance measures to a simulated executive committee, using templates they can take back to their own teams.
Training Objectives
By the end of the programme, participants will be able to:
- Evaluate data platform architectures and recommend direction that fits business needs and budget.
- Specify reliability targets, service levels and monitoring for pipelines and databases.
- Oversee database operations covering backup, recovery, security and performance management.
- Direct the extraction, integration and quality control of ERP data.
- Prioritise demand from business units using transparent criteria and a managed backlog.
- Apply DataOps, incident and change management practices within engineering teams.
- Control cloud and licence costs and manage vendor performance.
- Set team goals, measure performance and coach engineers and administrators.
What you'll learn
Key Takeaways
Participants leave the programme with:
- An architecture options paper and roadmap outline for their own platform.
- A draft set of service level objectives and an incident review template.
- A prioritisation framework for incoming data requests.
- An ERP data quality and integration control checklist.
- A team performance scorecard covering delivery, reliability and cost.
- A 90-day leadership plan for improving their function.
Training Methodology
The ten days alternate between technical review and leadership practice. Participants will take part in:
- Architecture reviews of case data platforms with sample metrics and incident logs
- Workshops writing service level objectives, backlogs and scorecards
- Simulations of prioritisation and executive committee discussions
- Role plays on coaching and performance conversations
- Peer learning among leaders from different industries
- A closing review assignment that applies all tools to one case
Day 1: The Data Leader's Role and Platform Landscape
- Responsibilities of data engineering and database leaders
- Operational databases, warehouses, lakes and lakehouses compared
- Batch and streaming patterns
- Aligning data strategy with business strategy
- Assessing the maturity of a data platform
- Exercise: platform health check of a case organisation
Day 2: Data Engineering Pipelines and Orchestration
- ETL and ELT design choices
- Orchestration, scheduling and dependency management
- Data modelling for analytics: star schemas and dimensional design
- Testing and version control for data code
- Pipeline failure patterns and recovery
- Review: a failing nightly load
Day 3: Database Operations and Resilience
- Database administration responsibilities and team structure
- High availability, replication and disaster recovery
- Backup strategies and recovery testing
- Performance tuning and capacity planning
- Patching, upgrades and change windows
- Exercise: a recovery objective workshop
Day 4: ERP Data, Integration and Master Data
- ERP data structures in finance, procurement, inventory and HR
- Extraction methods and integration patterns
- Master data governance and ownership
- Data migration and cutover risks
- Reconciling ERP data with reporting systems
- Case study: a master data failure in procurement
Day 5: Data Quality, Security and Compliance
- Data quality rules, monitoring and remediation
- Access control, encryption and segregation of duties
- Privacy, retention and audit requirements
- Working with internal and external auditors
- Metadata and lineage for traceability
- Exercise: designing quality controls for a pipeline
Day 6: Service Levels, Observability and DataOps
- Defining service level indicators and objectives
- Observability: logging, alerting and data freshness checks
- Incident management and blameless post-incident reviews
- Continuous integration and deployment for data
- Change and release control
- Workshop: writing service level objectives
Day 7: Demand, Prioritisation and Delivery Management
- Intake of business requests and backlog management
- Prioritisation criteria and value assessment
- Agile and Kanban in data teams
- Managing stakeholders in finance, operations and analytics
- Estimating, planning and handling technical debt
- Simulation: prioritising a conflicting set of requests
Day 8: Cost, Vendors and Cloud Economics
- Cloud data platform cost drivers and FinOps practices
- Licence management for database and ERP products
- Build, buy and outsource decisions
- Supplier performance reviews and contract levers
- Business cases for platform modernisation
- Exercise: reducing a platform's cost without raising risk
Day 9: Leading and Developing Technical Teams
- Team structures for engineering, administration and ERP data roles
- Setting goals and performance measures for technical staff
- Coaching, feedback and career paths
- Hiring, onboarding and knowledge sharing
- Managing on-call load and burnout
- Role play: a performance conversation with an engineer
Day 10: Integrated Review and Leadership Plans
- Full platform review of a case organisation
- Roadmap and investment proposal
- Performance scorecard and executive reporting
- Presentation to a simulated executive committee
- Personal 90-day leadership plans
- Course review and next steps
The programme is intended for those who lead or are about to lead data and ERP data functions, including:
- Heads of data engineering and data platform managers
- IT managers and chief information officer office staff
- Senior database administrators moving into management
- ERP data owners, SAP and Oracle functional leads
- Analytics and business intelligence managers
- Technical project and programme managers
- Data architects with growing team responsibilities
- Government and bank IT leaders responsible for core systems
Participants who complete the ten days and the review assignment receive a CPD-accredited Certificate of Completion, issued by Vision Reach Global Consultancy.
Choose Where You Want to Learn
Leadership and Performance in Data Engineering, Databases & ERP Data Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaArushaNext Nov 9· 13 dates$3,800- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaZanzibarNext Nov 16· 13 dates$5,200
NigeriaLagosNext Nov 16· 13 dates$5,600- NigeriaAbujaNext Nov 9· 13 dates$5,600
South AfricaPretoriaNext Nov 2· 13 dates$6,400- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- South AfricaCape TownNext Oct 26· 13 dates$7,600
UAEDubaiNext Oct 26· 13 dates$7,600
GhanaAccraNext Nov 16· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Leadership and Performance in Data Engineering, Databases & ERP Data Training Course
Everything you need to know about this course before you register.
By the end of the Leadership and Performance in Data Engineering, Databases & ERP Data programme, you'll be able to evaluate data platform architectures and recommend direction that fits business needs and budget, specify reliability targets, service levels and monitoring for pipelines and databases, oversee database operations covering backup, recovery, security and performance management, and direct the extraction, integration and quality control of erp data. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is intended for those who lead or are about to lead data and ERP data functions, including: Heads of data engineering and data platform managers, IT managers and chief information officer office staff, Senior database administrators moving into management, ERP data owners, SAP and Oracle functional leads, Analytics and business intelligence managers, Technical project and programme managers, Data architects with growing team responsibilities, and Government and bank IT leaders responsible for core systems.
Leadership and Performance in Data Engineering, Databases & ERP Data Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Leadership and Performance in Data Engineering, Databases & ERP Data Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Leadership and Performance in Data Engineering, Databases & ERP Data starts October 26, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Leadership and Performance in Data Engineering, Databases & ERP Data Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Leadership and Performance in Data Engineering, Databases & ERP Data Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Leadership and Performance in Data Engineering, Databases & ERP Data Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Leadership and Performance in Data Engineering, Databases & ERP Data Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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