Senior Data & AI Solutions Architect

Dell
São Paulo
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Consulting","Presentation"]

Provide technical leadership in pre-sales and consultative support for sales teams, helping corporate clients design and adopt modern data, analytics, and AI solutions. Build relationships with strategic accounts, lead discovery to translate business needs into end-to-end data management architectures, and present solutions including data warehouses/lakes, integration, BI, and GenAI/RAG use cases. Deliver system integration guidance through POCs and validate complex configurations in customer environments.

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FursaFursa
Dell
Dell
1 day ago

Senior Data & AI Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Provide technical leadership in pre-sales and consultative support for sales teams, helping corporate clients design and adopt modern data, analytics, and AI solutions. Build relationships with strategic accounts, lead discovery to translate business needs into end-to-end data management architectures, and present solutions including data warehouses/lakes, integration, BI, and GenAI/RAG use cases. Deliver system integration guidance through POCs and validate complex configurations in customer environments.
Location: São Paulo
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Provide technical leadership in pre-sales and consultative support, working with business and technical stakeholders to shape data, analytics, and AI solutions.
  • •Build strategic account relationships, run discovery to identify business drivers, technical requirements, and constraints, and translate needs into customer data solutions.
  • •Design and present end-to-end data management solutions including data warehouses, data lakes/lakehouses, data integration, analytics, BI, data science, GenAI/RAG use cases, and supporting product specifications.
  • •Provide technical guidance throughout the sales cycle by validating complex configurations, executing advanced system integration activities, and implementing solutions in customer environments.
  • •Create clear business narratives for technical and non-technical audiences and support customer modernization efforts including cloud warehouse/lakehouse migrations, BI transformation, analytics self-service, real-time/streaming analytics, and GenAI/RAG implementations.

Key Requirements

  • •Fluent English with the ability to communicate effectively in a global environment with international clients, partners, and stakeholders.
  • •Proven experience in customer-facing technical roles (e.g., Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, Data Scientist) with strong commercial exposure.
  • •Hands-on experience with at least one public cloud provider (AWS, Azure, or GCP) and leading data platforms such as Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse, or similar.
  • •Solid knowledge of data warehousing and data lake/lakehouse architectures, including ETL/ELT, data integration, SQL, data modeling, performance optimization, orchestration, batch/streaming patterns, and data governance (catalog, lineage, security, RBAC).
  • •Ability to design and explain end-to-end analytics solutions, from raw ingestion to dashboards and predictive models, including GenAI/RAG architectures and vector databases.
Skills:CommunicationConsultingPresentation
Languages:English
Tech Stack:AWSAzureGCPSnowflakeDatabricksClouderaBigQueryRedshiftSynapseETLELTSQLData warehousingData lakesData lakehouseStreamingRBACPrompt engineeringGenAIRAG

Company Brief

Dell
Designs, manufactures and sells computers, servers, storage, networking equipment, and related IT solutions and services for consumers, small businesses, and enterprises worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Round Rock, United States
Founded: 1984
Glassdoor
Glassdoor: 3.8
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