Data Engineer
Job Title: Data EngineerLocation: ~Rosemead, CA~Duration: 6 monthsExperience:8-10 YearsJob Description:Must Have Technical/Functional SkillsSAP Datasphere, SAP SAC, SAP BWRoles & ResponsibilitiesEvaluate and Rationalize Analytics Demand: Collaborate with business stakeholders to assess analyticsand reporting requirements, perform feasibility analysis, define KPIs, and recommend the optimalanalytics solution aligned with business objectives and enterprise data strategy.Design End-to-End Data & Analytics Architecture: Architect scalable and governed data solutions acrossSAP Datasphere, SAP Analytics Cloud (SAC), Palantir , Power BI, Snowflake, and other enterpriseplatforms, ensuring seamless integration, performance, and scalability.Define Analytics Platform Strategy and Tool Selection: Establish decision frameworks for selecting theappropriate analytics platform (SAC, Power BI, embedded analytics, self-service analytics, etc.) based onbusiness use cases, data complexity, governance requirements, and total cost of ownership.Drive Data Governance and Data Product Enablement: Define data models, business glossary,metadata management, data lineage, security, and governance standards while enabling reusable dataproducts and self-service analytics capabilities across the organization.Lead Solution Delivery and Technology Roadmaps: Provide architectural oversight for analyticsinitiatives, conduct solution reviews and POCs, guide development teams, and drive the roadmap formodernization from legacy reporting platforms to SAP Datasphere, SAC, and Power BI ecosystems.Generic Managerial Skills, If anyStakeholder Management & Business Consulting: Ability to engage with business leaders, understandstrategic objectives, facilitate demand discussions, and translate business requirements into actionabledata and analytics roadmaps.Leadership & Cross-Functional Collaboration: Lead multidisciplinary teams across data engineering, BI,reporting, and business functions while driving alignment, decision-making, and successful solutiondelivery.Strategic Planning & Governance: Establish analytics governance, prioritize initiatives, manage risks,oversee budgets and resource utilization, and drive continuous improvement to maximize business valuefrom analytics investments