Data & AI Engineer – Microsoft Fabric, Experimentation Data & Agent Development
Bellevue, WA - USA
Job Summary
Job Title: Data & AI Engineer - Microsoft Fabric Experimentation Data & Agent Development
Location: Bellevue WA/Remote
Experience: 6-8 Years
Job Summary
We are seeking a highly skilled Data & AI Engineer with strong expertise in Microsoft Fabric Azure AI Services data engineering and AI-powered analytics solutions. The ideal candidate will design and manage scalable experimentation data platforms build curated Silver/Gold data layers develop AI-powered data agents and support enterprise analytics and experimentation workflows.
This role requires hands-on expertise in Microsoft Fabric PySpark clickstream analytics Adobe Customer Journey Analytics (CJA) Azure AI Services and modern data engineering best practices.
Required Skills
- Strong expertise in:
- Microsoft Fabric
- Data Engineering
- Data Modeling
- Big Data Platforms
- Data Pipeline Design
- Hands-on experience with:
- PySpark
- Azure AI Services
- AI/ML Integration
- Microsoft Fabric Data Agents
- Azure Data Factory (ADF)
- Strong understanding of:
- Clickstream data
- Customer Analytics
- Adobe Analytics
- Adobe Customer Journey Analytics (CJA)
- Experimentation data platforms
- Experience with:
- Data validation and reconciliation
- Performance tuning and monitoring
- Telemetry pipelines
- Data governance and semantic modeling
- Strong analytical and problem-solving skills
- Ecommerce domain experience preferred
Key Responsibilities
Experimentation Data Enablement
- Design build and maintain curated Silver-layer datasets in Microsoft Fabric for experimentation analytics and reporting
- Develop reusable data products including standardized tables and views for dashboards scorecards and ad hoc analysis
- Ensure datasets are analysis-ready cleaned deduplicated and semantically aligned
Data Gap Analysis & Modeling
- Conduct gap assessments across experimentation KPIs telemetry systems and Silver-layer datasets
- Identify data quality latency schema and join-key issues and recommend remediation strategies
- Improve data models using:
- Facts and dimensions
- Conformance rules
- Surrogate keys
- Grain optimization
Gold Layer & Stakeholder Management
- Conduct workshops with BI reporting experimentation and engineering teams
- Define KPI calculations attribution logic governance standards and refresh SLAs
- Create source-to-target mappings data dictionaries validation rules and technical specifications
Pipeline Engineering
- Build and maintain robust data pipelines using:
- Microsoft Fabric Pipelines
- Azure Data Factory (ADF)
- Telemetry/1DS pipelines
- Implement orchestration incremental loads monitoring and error handling mechanisms
Data Validation & Reconciliation
- Validate and reconcile datasets with Adobe Customer Journey Analytics (CJA)
- Build automated validation routines for:
- Missing data
- Duplicate detection
- Schema drift
- Metric anomaly detection
- Coordinate issue resolution with telemetry and engineering teams
AI Agent Development
- Design and build AI-powered data agents using:
- Fabric Data Agents
- Copilot
- Azure OpenAI
- Enable use cases such as:
- Automated scorecards
- Narrative summaries
- Self-service analytics Q&A
- Metric definition assistants
- Data quality monitoring assistants
- Define AI agent architecture RBAC security grounding sources and evaluation metrics
Governance & Operational Excellence
- Maintain documentation for:
- Data transformations
- Pipeline dependencies
- Metric definitions
- Validation rules
- Implement best practices for:
- Naming conventions
- Semantic consistency
- Versioning
- Cost optimization
- Support operational monitoring troubleshooting and continuous improvement initiatives
Preferred Qualifications
- Experience supporting experimentation and customer analytics platforms
- Strong knowledge of ecommerce and digital analytics ecosystems
- Exposure to AI-driven analytics and self-service data platforms
- Strong collaboration and stakeholder communication skills