Sr. Tech Lead - Application Development Microsoft N 4D
About the role
Ready to turn bold ideas into real-world impact?
Role Summary
planning, designing, and executing data migration strategy
high-quality, accurate, and secure data transition
360° customer view
Reliable case history & service continuity
1. Data Migration Strategy & Planning
- Define
data migration approach and roadmap
: • Lift-and-shift vs transform-driven migration
- Phased vs big-bang migration
- Identify: • Source systems (CRM, ERP, telephony, data lakes)
- Data entities (customers, cases, interactions, knowledge articles)
- Create: • Data migration plan, timelines, and dependencies
Data migration planning and ensuring data integrity are core responsibilities in D365 CE implementations
2. Data Mapping & Transformation
- Perform
data mapping between source systems and D365 Dataverse
- Define: • Field-level mappings
- Data transformation rules
- Data enrichment requirements
- Handle: • Data normalization (format, structure alignment)
- Data cleansing logic
3. Data Extraction, Transformation & Load (ETL)
- Design and execute ETL processes using: • Azure Data Factory / SSIS / ETL tools
- Perform: • Data extraction from legacy systems
- Transformation and validation
- Load into Dataverse
ETL and data migration processes are key parts of D365 integration and data handling
4. Contact Center Data Migration (Critical)
- Migrate
customer service-specific datasets
: • Case history and interactions
- Knowledge articles and FAQs
- Customer communication records
- SLAs, entitlements, and service configurations
- Ensure continuity of: • Customer journeys
- Agent workflows
Customer service modules include case management, knowledge management, routing, and SLAs which must be preserved during migration
5. Data Quality & Validation
- Define and execute: • Data validation rules
- Reconciliation checks (source vs target)
- Ensure: • Data completeness
- Accuracy and consistency
- Identify and resolve: • Data anomalies and duplicates
6. Testing & Migration Rehearsals
- Support: • Migration testing cycles (trial loads, SIT, UAT validation)
- Conduct: • Mock migrations / dress rehearsals
- Validate: • End-to-end business usage scenarios (case creation, routing, reporting)
7. Cutover & Go-Live Execution
- Plan and execute: • Final migration cutover strategy
- Coordinate with: • Business, functional, and technical teams
- Ensure: • Minimal downtime
- Data readiness for go-live
8. Data Governance, Security & Compliance
- Implement: • Data security controls (masking, encryption)
- Ensure compliance with: • GDPR and regulatory requirements
- Support: • Audit and traceability requirements
Data security, masking, and compliance are key aspects in D365 contact center implementations
9. Collaboration & Documentation
- Work with: • Functional consultants (data requirements)
- Integration consultants (data interfaces)
- Architects (data design & governance)
- Create: • Data mapping documents
- Migration runbooks
- Reconciliation reports
Experience
Extensive experience
in data migration / data engineering / ETL
- Strong experience in: • CRM migrations (preferably Dynamics 365 CE)
- Customer Service / Contact Center data domains
- Experience with: • Large-scale, multi-system migrations
Data Migration & ETL
- Expertise in: • ETL tools (Azure Data Factory, SSIS, etc.)
- Data transformation and cleansing
- Strong understanding of: • Data modeling and mapping
D365 & Platform Knowledge
- Good understanding of: • Dynamics 365 Customer Service
- Dataverse data model
- Exposure to: • Power Platform
Integration Awareness
- Familiarity with: • APIs and integration pipelines
- Azure services for data orchestration
Contact Center Domain Knowledge
- Understanding of: • Customer interaction data models
- Case lifecycle and service processes
- Awareness of: • Omnichannel data flows (chat, voice, messaging)
Certifications (Preferred)
- Microsoft: • Azure Data Engineer Associate (DP-203)
- Azure Developer (AZ-204)
- Dynamics 365 Customer Service (MB-230)
Soft Skills
- Strong analytical mindset and attention to detail
- Problem-solving and data troubleshooting
- Stakeholder communication (business + technical)
- Ability to handle
Qualifications
Certifications
Required Skills
Language
Language Proficiency -
Job Type
Master Skill List -
Remote Type -
Work Shift -
• Lead AI-powered transformation
• Make an impact
• Accelerate your career
• Work with the best
• Thrive in a values-driven culture
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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