Data & AI Engineer – Microsoft Fabric, Experimentation Data & Agent Development

Purple Drive


Job Location:

Bellevue, WA - USA

Monthly Salary: Not Disclosed
Posted on: 12 hours ago
Vacancies: 1 Vacancy

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
Job Title: Data & AI Engineer - Microsoft Fabric Experimentation Data & Agent Development Location: Bellevue WA/RemoteExperience: 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 analy...