Data Engineer

I-Flow

Job Title: Data Engineer Location: ~Rosemead, CA~ Onsite Duration: 6 months Experience:10 Above Job description: Must Have Technical/Functional Skills SAP Datasphere, SAP SAC, SAP BW Roles & Responsibilities Evaluate and Rationalize Analytics Demand: Collaborate with business stakeholders to assess analytics and reporting requirements, perform feasibility analysis, define KPIs, and recommend the optimal analytics solution aligned with business objectives and enterprise data strategy. Design End-to-End Data & Analytics Architecture: Architect scalable and governed data solutions across SAP Datasphere, SAP Analytics Cloud (SAC), Palantir , Power BI, Snowflake, and other enterprise platforms, ensuring seamless integration, performance, and scalability. Define Analytics Platform Strategy and Tool Selection: Establish decision frameworks for selecting the appropriate analytics platform (SAC, Power BI, embedded analytics, self-service analytics, etc.) based on business 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 data products and self-service analytics capabilities across the organization. Lead Solution Delivery and Technology Roadmaps: Provide architectural oversight for analytics initiatives, conduct solution reviews and POCs, guide development teams, and drive the roadmap for modernization from legacy reporting platforms to SAP Datasphere, SAC, and Power BI ecosystems. Generic Managerial Skills, If any Stakeholder Management & Business Consulting: Ability to engage with business leaders, understand strategic objectives, facilitate demand discussions, and translate business requirements into actionable data 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 solution delivery. Strategic Planning & Governance: Establish analytics governance, prioritize initiatives, manage risks, oversee budgets and resource utilization, and drive continuous improvement to maximize business value from analytics investments I-Flow

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