> Markdown version of [/jobs/ext/4424072-senior-data-ai-engineering-consultant](https://www.wearedevelopers.com/jobs/ext/4424072-senior-data-ai-engineering-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data & AI Engineering Consultant - **Company:** Interlink Cloud Advisors - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automation of Tests, Microsoft Azure, Business Intelligence Development, Microsoft Online Services, Cloud Computing, Code Review, Databases, Continuous Delivery, Information Engineering, Data Infrastructure, Data Systems, Data Warehousing, Database Queries, Software Design Documents, Apache Hive, Modular Design, Raw Data, Role-Based Access Control, Release Management, Power BI, Kusto Query Language, Azure Data Lake, Software Engineering, SQL Databases, Enterprise Search, Enterprise Data Management, Data Logging, Azure Data Factory, Retrieval-Augmented Generation, Apache Spark, Microsoft Fabric, Data Lakes, Pyspark, Operational Systems, Data Management, Semantic Modeling, Azure Synapse Analytics, Stream Analytics, Software Version Control, Data Pipelines, Powerapps, Key Vault, Databricks - **Published:** October 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8b2505ed20bf1cb5 ## About the Role * 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, to support end-to-end analytics delivery; Power Apps experience is a plus. * 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., * Direct experience with Microsoft Fabric components - OneLake, Lakehouse, Warehouse, Data Factory in Fabric, and Real-Time Analytics/KQL databases - including platform administration, capacity planning, and standards. * Experience with Azure services commonly used in data platforms, such as Azure Data Factory, Synapse, Databricks, ADLS Gen2, and Key Vault. * Working knowledge of Azure architecture fundamentals across identity, networking, storage, monitoring, resiliency, and cost management. * Familiarity with AI-enablement patterns - such as preparing governed enterprise data for Azure AI Search or Microsoft Foundry, retrieval-augmented generation, or agent-based solutions-is valued. Deep agent application development experience is not required. * Experience implementing CI/CD and Infrastructure as Code, including environment strategy and release management for data solutions. * Familiarity with semantic modeling and BI enablement patterns, including Power BI datasets, self-service analytics, and governance guardrails. * Current Microsoft certifications relevant to the role are valued, especially Microsoft Certified: Fabric Data Engineer Associate (DP-700), Microsoft Certified: Power BI Data Analyst Associate (PL-300), and, for broader architecture responsibilities, Microsoft Certified: Azure Solutions Architect Expert (AZ-305). Equivalent current Microsoft credentials and experience mentoring or enabling client teams are also welcome. ## Description A senior Microsoft-focused consulting role spanning discovery, architecture, engineering, governance, and client enablement. ~ Client Facing (Discovery/Architecture/Delivery) ~ Microsoft Cloud (Azure & Microsoft Fabric), Interlink Cloud Advisors is looking for a Senior Data & AI Engineering Consultant to help clients build modern, scalable data platforms on Microsoft Azure and Microsoft Fabric. In this client-facing role, you'll lead discovery, design pragmatic architectures, and deliver end-to-end solutions that turn raw data into trusted, analytics-ready datasets for BI, reporting, advanced analytics, and AI use cases. You'll work across Fabric (OneLake, Lakehouse, Warehouse) and Azure data services to ensure solutions are secure, governed, maintainable, cost-conscious, and operationally ready., * Lead client discovery to understand business goals, the data landscape, constraints, and success metrics, then translate findings into a clear delivery plan. * Design and recommend data lake, lakehouse, data warehouse, and analytical data store architectures on Azure and Microsoft Fabric aligned to client needs. * Implement, or guide implementation of, ingestion, transformation, and orchestration pipelines using Microsoft Fabric experiences and Azure services such as Data Factory, Synapse, and Databricks. * Integrate data from operational systems, APIs, and third-party sources and transform raw data into curated datasets ready for consumption. * Build and maintain analytics-ready data models and schemas; implement enrichment, business rules, and reusable patterns for consistency across projects. * Enable multiple compute engines - SQL, Spark/PySpark, Spark SQL, and KQL - against shared datasets to support diverse analytics scenarios. * Prepare governed data products and reusable datasets for BI, advanced analytics, and AI use cases, including retrieval-ready data patterns when relevant. * Establish data quality practices, including validation, reconciliation, testing, and monitoring; troubleshoot failures and continuously improve pipeline resiliency. * Optimize transformations, query performance, and pipeline execution to meet client service level and cost objectives. * Implement logging, metrics, and operational runbooks, and support deployments, cutovers, and hypercare as needed. * Design and implement security, governance, and compliance controls, including access, least privilege, data protection, and lineage across Azure and Fabric. * Facilitate workshops and communicate architecture tradeoffs, partnering with client stakeholders, architects, analysts, and BI developers to deliver trusted datasets. * Produce clear consulting deliverables, including design documents, diagrams, implementation guides, and enablement materials, to support adoption and a smooth handoff.