MS Fabric Architect

Experion Technologies Pvt. Ltd.; Ernakulam; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Experion Technologies Pvt. Ltd. seeks a Microsoft Fabric Architect to own end-to-end architecture across Fabric and Azure, translating business and data needs into scalable, secure solutions.

You will establish standards for ingestion, processing, governance, security and BI delivery while guiding engineering teams and ensuring cost-effective modernization. You will collaborate with stakeholders, data engineers, BI teams and technology leadership, conducting reviews, POCs and technology

Qualifications

• Strong hands-on experience in Microsoft Fabric architecture and implementation.
• Expertise in OneLake, Lakehouse, Fabric Warehouse and Fabric Data Factory/Pipelines.
• Strong knowledge of Spark/PySpark, SQL and Python.
• Strong Power BI architecture, semantic modelling and DAX knowledge.
• Good understanding of Direct Lake, Import and DirectQuery.
• Experience with enterprise ETL/ELT, data modelling, data governance and data security.
• Experience designing both batch and streaming data solutions.
• Solution Design and Technology Evaluation
• Data Platform Modernization & Migration
• Performance and Cost Optimization
• Security, Governance and Data Quality
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder-management skills
• Ability to lead, influence and mentor technical teams

Responsibilities

• Define end-to-end Microsoft Fabric architecture using OneLake, Lakehouse, Fabric Warehouse, Data Factory/Data Pipelines, Spark and Real-Time Intelligence.
• Design scalable batch and real-time data ingestion, processing and analytics solutions.
• Establish data architecture patterns including Medallion architecture, dimensional modelling and enterprise semantic models.
• Design and govern Power BI solutions, including semantic models and appropriate use of Direct Lake, Import and DirectQuery.
• Lead modernization/migration initiatives from legacy and cloud data platforms such as SQL Server, Synapse, Snowflake, Teradata and Databricks.
• Define standards for security, governance, data quality, lineage, monitoring, performance and cost optimization.
• Guide engineering teams on Fabric implementation, coding standards, CI/CD and DevOps practices.
• Conduct architecture reviews, POCs and technology evaluations and recommend appropriate solutions.
• Collaborate with stakeholders to understand requirements, explain technical trade-offs and drive architecture decisions.
• Mentor data engineers, developers and architects and act as the technical authority for Fabric solutions.
• Adhere to the Information Security Management policies and procedures.

Skills

Microsoft Fabric architecture

OneLake

Lakehouse

Fabric Warehouse

Data Factory/Pipelines

Spark

PySpark

SQL

Python

Power BI

DAX

Direct Lake

DirectQuery

ETL/ELT

Data modelling

Data governance

Data security

Batch processing

Streaming data

CI/CD

DevOps

Architecture reviews

POCs

Tech evaluations

Stakeholder management

Mentoring

Tools

Power BI

SQL Server

Synapse

Snowflake

Teradata

Databricks

Job description

Lead the architecture, design and delivery of enterprise-scale Microsoft Fabric data platforms enabling modern dat engineering, analytics, BI and AI capabilities. The role will define scalable, secure and cost-effective data architectures, drive cloud/data modernization, and provide technical leadership to engineering and delivery teams.

Job Description

The Microsoft Fabric Architect will own end-to-end solution architecture across Microsoft Fabric an Azure, translating business and data requirements into robust technical solutions. The role will establish architecture standards and patterns covering data ingestion, transformation, storage, analytics, governance, security and consumption. The architect will work closely with business stakeholders, data engineers, BI teams, cloud architects and technology leadership, and will provide hands-on technical guidance throughout the solution lifecycle

DUTIES & RESPONSIBILITIES

• Define end-to-end Microsoft Fabric architecture using OneLake, Lakehouse, Fabric Warehouse, Data Factory/Data Pipelines, Spark and Real-Time Intelligence.
• Design scalable batch and real-time data ingestion, processing and analytics solutions.
• Establish data architecture patterns including Medallion architecture, dimensional modelling and enterprise semantic models.
• Design and govern Power BI solutions, including semantic models and appropriate use of Direct Lake, Import and DirectQuery.
• Lead modernization/migration initiatives from legacy and cloud data platforms such as SQL Server, Synapse, Snowflake, Teradata and Databricks.
• Define standards for security, governance, data quality, lineage, monitoring, performance and cost optimization.
• Guide engineering teams on Fabric implementation, coding standards, CI/CD and DevOps practices.
• Conduct architecture reviews, POCs and technology evaluations and recommend appropriate solutions.
• Collaborate with stakeholders to understand requirements, explain technical trade-offs and drive architecture decisions.
• Mentor data engineers, developers and architects and act as the technical authority for Fabric solutions.
• Adhere to the Information Security Management policies and procedures.

Job Specification

Essential Technical Skills

• Strong hands-on experience in Microsoft Fabric architecture and implementation.
• Expertise in OneLake, Lakehouse, Fabric Warehouse and Fabric Data Factory/Pipelines.
• Strong knowledge of Spark/PySpark, SQL and Python.
• Strong Power BI architecture, semantic modelling and DAX knowledge.
• Good understanding of Direct Lake, Import and DirectQuery.
• Experience with enterprise ETL/ELT, data modelling, data governance and data security.
• Experience designing both batch and streaming data solutions.
• Solution Design and Technology Evaluation
• Data Platform Modernization & Migration
• Performance and Cost Optimization
• Security, Governance and Data Quality
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder-management skills
• Ability to lead, influence and mentor technical teams