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. Opti

Cognizant - Hong Kong - Full time

Salary: Competitive

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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