Senior Data & AI Engineering Consultant

Job not on LinkedIn

🕒 2 days ago

🏈 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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📋 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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