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Data Engineer

Job in Rosemead, Los Angeles County, California, 91770, USA
Listing for: TALENT Software Services
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager, Business Intelligence
Salary/Wage Range or Industry Benchmark: 160000 - 210000 USD Yearly USD 160000.00 210000.00 YEAR
Job Description & How to Apply Below
  • 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
    • 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
    • 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:
    • Business glossary
    • Metadata management
    • 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.
  • Generic 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.
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