Data Engineer

Location: Rosemead, CA • Duration: 6 months

Must-Have Technical/Functional Skills

• SAP Datasphere
• SAP Analytics Cloud (SAC)
• SAP BW

Responsibilities

• Evaluate and rationalize analytics demand by collaborating with business stakeholders to assess analytics and reporting requirements.
• Perform feasibility analysis, define KPIs, and recommend optimal analytics solutions aligned with business objectives and enterprise data strategy.
• Design end-to-end data and analytics architectures across:
  • SAP Datasphere
  • SAP Analytics Cloud (SAC)
  • Palantir
  • Power BI
  • Snowflake
  • Other enterprise data and analytics platforms
• Ensure seamless integration, scalability, performance, and governance across analytics platforms.
• Define analytics platform strategy and establish decision frameworks for selecting appropriate tools based on:
  • Business use cases
  • Data complexity
  • Governance requirements
  • Total cost of ownership (TCO)
• Evaluate and recommend analytics platforms such as SAC, Power BI, embedded analytics, and self-service analytics.
• Drive data governance and data product enablement across the organization. Define and implement:
  • Data models
  • Business glossary
  • Metadata management
  • Data lineage
  • Security standards
  • Data governance standards
• Enable reusable data products and self-service analytics capabilities.
• Provide architectural oversight for data and analytics initiatives. Conduct solution reviews, proof-of-concepts (POCs), and architecture assessments.
• Guide development teams in implementing scalable data and analytics solutions.
• Develop and drive technology roadmaps for modernization from legacy reporting platforms to SAP Datasphere, SAP SAC, and Power BI ecosystems.

Managerial Skills

• Stakeholder Management & Business Consulting:
  • Engage with business leaders to understand strategic objectives and analytics needs.
  • Facilitate analytics demand discussions and prioritize business requirements.
  • Translate business requirements into actionable data and analytics roadmaps.
• Leadership & Cross-Functional Collaboration:
  • Lead multidisciplinary teams across data engineering, BI, reporting, and business functions.
  • Drive cross-functional alignment, decision-making, and successful solution delivery.
  • Coordinate with technical and business teams to ensure project objectives are achieved.
• Strategic Planning & Governance:
  • Establish and maintain analytics governance frameworks.
  • Prioritize analytics and data initiatives based on business value.
  • Manage project risks, budgets, and resource utilization.
  • Drive continuous improvement to maximize business value from analytics investments.