MS Fabric Solution Engineer

Job Title: MS Fabric Solution Engineer lead and Architect role 

Experience: 7-10 Years

Location: Remote

Budget : 1.2 LPM for 7+Years(lead role) & 1.4 LPM for 8+Years(Architect)

Shift : IST

JD for MS Fabric Solution Engineer

Key Responsibilities:

● Lead the technical design, architecture, and hands-on implementation of Microsoft Fabric PoCs. This includes translating business needs into effective data solutions, often applying Medallion Architecture principles within the Lakehouse..

● Develop and optimize ELT/ETL pipelines for diverse data sources:

o Static data (e.g., CIM XML, equipment models, Velocity Suite data).

o Streaming data (e.g., measurements from grid devices, Event Hub and IoT Hub).

● Seamlessly integrate Fabric with internal systems (e.g., CRM, ERP) using RESTful APIs, data mirroring, Azure Integration Services, and CDC (Change Data Capture) mechanisms.

● Hands-on configuration and management of core Fabric components: OneLake, Lakehouse, Notebooks (PySpark/KQL), and Real-Time Analytics databases.

● Facilitate data access via GraphQL interfaces, Power BI Embedded, and Direct Lake connections, ensuring optimal performance for self-service BI and adhering to RLS/OLS.

● Work closely with Microsoft experts, SMEs, and stakeholders.

● Document architecture, PoC results, and provide recommendations for production readiness and data governance (e.g., Purview integration).

______________

Required Skills & Experience:

● 5–10 years of experience in Data Engineering / BI / Cloud Analytics, with at least 1–2 projects using Microsoft Fabric (or strong Power BI + Synapse background transitioning to Fabric).

● Proficient in:

o OneLake, Data Factory, Lakehouse, Real-Time Intelligence, Dataflow Gen2

o Ingestion using CIM XML, CSV, APIs, SDKs

o Power BI Embedded, GraphQL interfaces

o Azure Notebooks / PySpark / Fabric SDK

● Experience with data modeling (asset registry, nomenclature alignment, schema mapping).

● Familiarity with real-time streaming (Kafka/Kinesis/IoT Hub) and data governance concepts.

● Strong problem-solving and debugging skills.

● Prior experience with PoC/Prototype-style projects with tight timelines.

______________

Good to Have:

● Knowledge of grid operations / energy asset management systems.

● Experience working on Microsoft-Azure joint engagements.

● Understanding of AI/ML workflow integration via Azure AI Foundry or similar.

● Relevant certifications: DP-600/700 or DP-203.