Opening For - Fabric Architect

SP Staffing; India; Hybrid; INR 4,000,000 - 6,500,000; Full time

Job summary

SP Staffing Services seeks a senior Microsoft Fabric Architect to lead end-to-end architecture across Fabric and Azure platforms. You will translate business needs into scalable, secure data solutions and mentor technical teams.

Responsibilities include defining standards, guiding CI/CD, and collaborating with stakeholders to drive architecture decisions for batch and real-time data, Power BI governance, and data quality.

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.
• Strong Azure data platform knowledge including ADLS, Azure SQL, Synapse and Azure Data Factory
• Experience with enterprise ETL/ELT, data modelling, data governance and data security
• Experience designing both batch and streaming data solutions.

Responsibilities

• The Microsoft Fabric Architect will own end-to-end solution architecture across Microsoft Fabric and Azure, translating business and data requirements into robust technical solutions.
• 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.
• 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

OneLake

Lakehouse

Fabric Warehouse

Data Factory/Pipelines

Spark/PySpark

SQL

Python

Power BI

Direct Lake

DirectQuery

Azure data platform

ETL/ELT

data governance

security

Tools

Azure Data Factory

Databricks

Synapse

Power BI

Job description

Greetings from SP Staffing Services!

Reaching out to you regarding permanent MNC opportunity!!

Job Description

Location: Pan India

Experience : 10 Yrs- 20 yrs

Interview Mode:Virtual Interview

Interview Process: Technical & Managerial / HR round

Duties & Responsibilities

• The Microsoft Fabric Architect will own end-to-end solution architecture across Microsoft Fabric and 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.
• 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 / Skills and Competencies

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.
• Strong Azure data platform knowledge including ADLS, Azure SQL, Synapse and Azure Data Factory
• Experience with enterprise ETL/ELT, data modelling, data governance and data security
• Experience designing both batch and streaming data solutions.

Architecture & Professional Competencies

• Enterprise Data & Cloud Architecture
• 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