Data Engineer

TALENT Software Services; Rosemead (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

TALENT Software Services in California seeks an analytics leader to evaluate demand, define KPIs, and design architectures across SAP Datasphere, Palantir, Power BI, Snowflake.

You will drive governance, tool selection, and roadmaps to modernize from legacy reporting to SAP ecosystems; collaborate with business stakeholders and guide multidisciplinary teams.

This role emphasizes architecture oversight, POCs, and scalable data solutions to enable self-service analytics.

Qualifications

• Experience leading analytics and data initiatives across enterprise platforms.
• Ability to translate business needs into data and analytics roadmaps.
• Strong governance and data-management mindset.

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, Palantir, Power BI, Snowflake, and other enterprise 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, and 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, enabling reusable data products and self-service analytics capabilities.
• Provide architectural oversight for data and analytics initiatives.
• Conduct solution reviews, 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.

Skills

Stakeholder Management

Business Consulting

Leadership

Cross-Functional Collaboration

Strategic Planning

Governance

Data Governance

Data Architecture

Job description

• 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.