Senior Data & AI Engineering Consultant
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Job Description
Senior consultant designing and delivering Azure and Microsoft Fabric data platforms for Interlink Cloud Advisors’ clients. Building governed, analytics-ready datasets for BI, analytics, and AI.
Responsibilities:
- 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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