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Presidio · 3 hours ago

Architect, Data & Analytics

United States

Full-time

Remote

Senior Level

7+ years exp

Presidio is at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI. The Data & Analytics Architect will be responsible for designing, developing, and implementing data & analytics solutions that empower data-driven decision-making for clients, requiring deep technical expertise and strong consulting skills.

Cloud InfrastructureInformation ServicesInformation Technology

Responsibilities

Define data solution architecture, including data integration, data warehousing, and reporting frameworks

Develop scalable and secure data solutions aligned with client business objectives

Design and optimize data models for analytics and reporting

Oversee ETL processes and ensure data quality and governance

Collaborate with clients to understand business requirements and translate them into technical solutions

Provide thought leadership on BI best practices, emerging technologies, and industry trends

Assist in Presales and client problem definition phase of an Azure data engagement. Work closely with the presales engineers to design the best-in-class Azure data solution and scoping to satisfy client requirements

Ability to handle multiple client engagements in different stages of the implementation lifecycle

Implement and manage BI tools (e.g., Power BI, Tableau, Qlik, Looker)

Ensure integration with enterprise systems and cloud platforms (Azure, AWS, GCP)

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

Monitor and enhance data system performance, scalability, and security

Establish standards for dashboards, KPIs, and reporting

Provide hands-on guidance, mentoring, and validation for the project teams during the implementation of the client engagement

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc