Senior Data & AI Engineering Consultant

🕒 Outubro 27

🏈 Ohio – Remoto

🏈 Ohio – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Interlink Cloud Advisors

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2011

💼 Consultoria

🔒 Cibersegurança

🤝 B2B

Consulting • Cybersecurity • B2B

A Interlink Cloud Advisors é uma consultoria focada em Microsoft, especializada em cloud, segurança e managed services. A empresa ajuda organizações a migrar, implementar, licenciar e operar soluções Microsoft 365 e Azure. Seus serviços incluem planejamento e implementação de infraestrutura em cloud (Azure, Azure Landing Zones, AVD), segurança e compliance (Windows 11, Defender, Intune, Sentinel, EMS), orientação sobre licenciamento Microsoft e CSP, adoção do Copilot e soluções de produtividade (Teams, SharePoint, Power Platform, Viva), managed services (help desk, backup, disaster recovery) e suporte à integração em processos de M&A. A empresa se posiciona como parceira de equipes de TI corporativas, ajudando a simplificar a complexidade do ecossistema Microsoft, aumentar a produtividade e reduzir riscos em setores como serviços financeiros, varejo, manufatura e saúde.

Descrição

• Lead client discovery to understand business goals, data landscape, constraints, and success metrics • Translate discovery findings into clear delivery plans • Design and recommend data lake, lakehouse, data warehouse, and analytical data store architectures on Azure and Microsoft Fabric • Implement or guide implementation of ingestion, transformation, and orchestration pipelines using Microsoft Fabric and Azure services • Integrate operational systems, APIs, and third-party data sources • Transform raw data into curated, analytics-ready datasets • Build and maintain analytics-ready data models and schemas • Implement enrichment, business rules, and reusable data patterns • Enable SQL, Spark/PySpark, Spark SQL, and KQL compute engines against shared datasets • Prepare governed data products and reusable datasets for BI, advanced analytics, and AI use cases • Establish data quality practices, including validation, reconciliation, testing, and monitoring • Troubleshoot failures and improve pipeline resiliency • Optimize transformations, query performance, and pipeline execution for service-level and cost objectives • Implement logging, metrics, and operational runbooks • Support deployments, cutovers, and hypercare • Design and implement security, governance, and compliance controls across Azure and Fabric • Facilitate workshops and communicate architecture tradeoffs with client stakeholders and delivery teams • Produce design documents, diagrams, implementation guides, and enablement materials • Support adoption and smooth handoff of delivered solutions

🎯 Requisitos

• Experience designing and delivering modern analytics platforms using lakehouse and/or data warehouse patterns on Azure and/or Microsoft Fabric, including client-facing delivery • Strong SQL skills with experience building transformations and dimensional or analytical models • Hands-on experience with Spark (PySpark/Spark SQL) and/or KQL for data engineering and analytics workloads • Experience applying software engineering practices to data solutions, including modular design, source control, automated testing, code review, and technical documentation • Experience building reliable data pipelines, including orchestration, scheduling, error handling, and automated monitoring • Knowledge of data quality practices, including validation, reconciliation, testing, incident triage, and root-cause analysis • Working knowledge of Power BI, including semantic modeling concepts • Understanding of security and governance concepts for data platforms, including access controls, least privilege, compliance, and lineage • Strong communication skills, with the ability to present recommendations, align stakeholders, and manage expectations in a client environment • Preferred: Direct experience with Microsoft Fabric components, including OneLake, Lakehouse, Warehouse, Data Factory in Fabric, and Real-Time Analytics/KQL databases • Preferred: Experience with Azure Data Factory, Synapse, Databricks, ADLS Gen2, and Key Vault • Preferred: Working knowledge of Azure architecture fundamentals across identity, networking, storage, monitoring, resiliency, and cost management • Preferred: Familiarity with AI-enablement patterns such as Azure AI Search, Microsoft Foundry, retrieval-augmented generation, or agent-based solutions • Preferred: Experience implementing CI/CD and Infrastructure as Code • Preferred: Familiarity with semantic modeling and BI enablement patterns • Current Microsoft certifications are valued, especially DP-700, PL-300, and AZ-305 • Power Apps experience is a plus • Must be able to work in a client-facing consulting environment

🏖️ Benefícios

• Full-time employment • Stability and benefits usually found at enterprise firms • Flexible small-company environment • Family-first company attitude • Innovative, fun, and collaborative work environment • Best Places to Work Award recognition • Equal-opportunity employment

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