Senior Analytics & Visualization Engineer

Key Responsibilities:

• Review the design of reusable semantic models and datasets (DAX, star schema) in Fabric/Power BI, aligned to business KPIs and AI-driven use cases.

• Oversee the build of high-performing dashboards and reports with drill paths and accessibility, augmented with Power BI Copilot/Q&A and narrative summaries where suitable.

• Integrate Databricks outputs (features, predictions, embeddings) via Unity Catalog and “Publish to Power BI,” ensuring consistent governance and RLS/CLS.

• Optimize large models and real-time use cases (Direct Lake/DirectQuery, incremental refresh, aggregations) for BI and AI-assisted experiences.

• Establish versioning, deployment, and CI/CD for BI/AI artifacts with DevOps; monitor usage, performance, and adoption to drive continuous improvement.

• Act as an escalation point for data delivery teams when data visualization engineers need support to complete delivery on time.

Desired Profile:

• Technical Experience: 6+ years in analytics/BI with strong Power BI (DAX, Power Query, Tabular modeling) and Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2).

• Data Product & Governance: Experience developing governed data products, implementing governance frameworks, metadata management, data cataloging, lineage, and data quality controls.

• Platform Integration: Working knowledge of Databricks and Unity Catalog to consume curated data, features, and model outputs with consistent governance.

• Performance & Scale: Hands-on with Direct Lake/DirectQuery, incremental refresh, aggregations, and optimization of large models.

• Problem-Solving Skills: Proven ability to identify, troubleshoot, and resolve complex technical issues using automated solutions.

• Security & Governance: Experience implementing Unity Catalog/Purview lineage, access controls, secrets management, and compliant deployments.

• Communication & Documentation: Clear technical communication and the ability to support globally distributed teams.

• Experience working in retail, luxury, and consumer industry is preferred.

• Experience producing high-quality documentation: Technical specifications, functional specifications, user playbooks.

• Experience working with SAFe Agile framework and driving design reviews, demos, and user training.

Education:

• Bachelor’s in Computer Science, IT, or related field. Certifications in data engineering or related technologies are highly valued.

• Certification in Fabric and PowerBI is highly preferred, e.g. Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Enterprise Data Analyst Associate.

  
  

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