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Company

Perficient · 7 hours ago

Data Architect with Cloud & AI experience

United States

Full-time

Remote

Senior Level

$92K/yr - $203K/yr

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ConsultingInformation Technology

No H1B

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Responsibilities

Lead delivery teams as a technical leader - SME

Work with multiple business units within Perficient

Lead complex client engagement delivery, open with ambiguity and little direction.

Plan and lead workshops with client teams to understand the current landscape, requirements, and constraints and map to the latest technology products and platforms to come up with future architecture.

Design and lead the development of data assets as part of the delivery.

Assist senior leadership in creating phased implementation roadmaps from scope and resource perspectives.

Articulate complex architectures for a variety of client teams, both technical and non-technical, and build consensus.

Learn new technologies and platforms quickly and keep experience relevant to clients’ needs.

Lead teams based on global locations in multiple time zones.

Develop thought leadership material to establish Perficient as an authority on enterprise architecture topics at industry forums, conferences, etc.

Take ownership of solutions and teams.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ArchitecturesHyperscaler TechnologiesCloud Data WarehouseSolution ArchitectureData QualityData CatalogData LineageMaster Data ManagementProgramming LanguagesVirtualization PlatformsEnterprise ArchitectureCloud TechnologiesPerformance ArchitectureScalability ArchitectureSecurity ArchitectureAI Tools Knowledge

Required

Strong experience data architectures in multiple domains

Strong experience with multiple industry-specific tools and technologies

Expertise in at least two hyperscaler technologies – AWS, Azure, GCP

Expertise in cloud-based data warehouse and/or Lakehouse technology platforms such as Snowflake, Databricks, etc.

Strong experience in the latest data trends and associated technologies including, but not limited to, Data Quality, Data Catalog, Data Lineage, Master Data Management

Experience in multiple modern programming languages

Experience with virtualization platforms

Knowledge of Enterprise Architecture frameworks and methodologies

Expertise in building solutions from scratch as well as modernizing legacy architectures

Ability to communicate complex solutions to technical and non-technical users at various levels – typically department directors to C-Suite

Experience with both on-premises and cloud technologies and platforms

Expertise in architecting solutions with multiple disciplines – performance, scalability, security

Crisp and clear communication – both verbal and written

Ability to create strong presentations using various tools

Knowledge of up-and-coming AI tools and technologies and industry trends