Microsoft Fabric Administrator & Developer

Blackfluo.ai; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A data analytics company is looking for a Microsoft Fabric Administrator & Developer to manage their analytics platform. Responsibilities include deploying Fabric workspaces, designing data pipelines, and ensuring data security compliance. Candidates should have extensive experience in cloud analytics services and strong technical skills in SQL, Python, and data governance.

Qualifications

• 6+ years experience with modern data platforms and cloud analytics services.
• Strong knowledge of Azure Synapse Analytics.
• Proficiency in SQL, Python, Spark, and KQL for data processing.

Responsabilités

• Deploy and configure Microsoft Fabric workspaces.
• Design and develop data pipelines using Data Factory.
• Implement security policies including row-level security.

Connaissances

SQL

Python

Spark

KQL

Data Governance

Data Warehousing

Formation

Bachelor's degree in Data Science, Computer Science, or related field

Outils

Azure Synapse Analytics

Data Factory

Power BI

Description du poste

Microsoft Fabric Administrator & Developer

We are seeking a Microsoft Fabric Administrator & Developer to design, implement, and manage our unified analytics platform, leveraging Fabric's comprehensive data capabilities including data engineering, data warehousing, data science, real-time analytics, and business intelligence solutions.

Overview

Microsoft Fabric Administrator & Developer

Responsibilities

• Fabric Platform Administration
  • Deploy and configure Microsoft Fabric workspaces, capacities, and tenant settings
  • Manage user access, security roles, and workspace governance across Fabric experiences
  • Monitor platform performance, capacity utilization, and cost optimization strategies
  • Configure data gateways, network security, and hybrid connectivity scenarios
  • Implement backup, disaster recovery, and business continuity procedures
  • Design and develop data pipelines using Data Factory and Synapse Data Engineering
  • Create data ingestion workflows from various sources including streaming and batch data
  • Build data transformation processes using Apache Spark, notebooks, and dataflows
  • Implement data quality checks, validation rules, and error handling mechanisms
  • Manage data lakehouse architectures and delta lake implementations
• Data Warehousing & Analytics
  • Design and implement data warehouse solutions using Synapse Data Warehouse
  • Create dimensional models, fact tables, and optimized query structures
  • Develop real-time analytics solutions using KQL databases and streaming datasets
  • Implement data science workflows including machine learning model development and deployment
  • Build comprehensive Power BI reports and dashboards integrated with Fabric data sources
• Governance & Security
  • Establish data governance frameworks, lineage tracking, and metadata management
  • Implement security policies including row-level security, column-level security, and data masking
  • Configure sensitivity labels, information protection, and compliance monitoring
  • Manage data sharing, external data access, and cross-workspace collaboration
  • Ensure adherence to regulatory requirements and organizational data policies

Required Qualifications

• Technical Skills
  • 6+ years experience with modern data platforms and cloud analytics services
  • Strong knowledge of Azure Synapse Analytics, Data Factory, and Power BI
  • Proficiency in SQL, Python, Spark, and KQL for data processing and analysis
  • Experience with data lakehouse architectures, delta tables, and data modeling
  • Understanding of data engineering patterns, ETL processes, and real-time streaming
  • Knowledge of machine learning workflows and MLOps practices
• Data Platform Skills
  • Experience with data warehouse design and dimensional modeling techniques
  • Strong understanding of data governance, lineage, and metadata management
  • Knowledge of data security, privacy, and compliance frameworks
  • Experience with capacity planning, performance tuning, and cost optimization

Preferred Qualifications

• Bachelor's degree in Data Science, Computer Science, or related field
• Microsoft certifications (Fabric Analytics Engineer Associate, Azure Data Engineer Associate)
• Experience with other analytics platforms (Databricks, Snowflake, AWS Analytics)
• Background in data architecture and enterprise data strategy
• Knowledge of DevOps practices and infrastructure as code for data platforms