Senior Data & AI Engineering Consultant

Job not on LinkedIn

🕒 October 27

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Interlink Cloud Advisors

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

💼 Consulting

🔒 Cybersecurity

🤝 B2B

Consulting • Cybersecurity • B2B

Interlink Cloud Advisors is a Microsoft-focused cloud, security and managed services consultancy that helps organizations migrate to, deploy, license and operate Microsoft 365 and Azure solutions. They offer cloud infrastructure planning and deployments (Azure, Azure Landing Zones, AVD), security and compliance services (Windows 11, Defender, Intune, Sentinel, EMS), Microsoft licensing and CSP guidance, Copilot adoption and productivity solutions (Teams, SharePoint, Power Platform, Viva), managed services (help desk, backup, disaster recovery), and M&A integration support. They position themselves as a partner for enterprise IT teams to simplify Microsoft complexity, improve productivity, and reduce risk across industries such as financial services, retail, manufacturing and healthcare.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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