Azure Data Engineer
Legrand Group Opportunities - Join us- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 1mo ago
Azure Data Engineer
United States (Remote)
Job Info
Job Identification
565
Posting Date
07/22/2026, 11:26 PM
Job Schedule
Full time
Locations
United States
(Remote)
Brand
Legrand
Employment type
Regular
Travel Required
Yes
Job Category
Digital & Information Technology
Job Description
At a Glance
Legrand has an exciting opportunity for an Azure Data Engineer to join our Information Technology Team. This is a remote position.
Lead the design, development, and optimization of enterprise data platforms on Azure. This role will be instrumental in advancing our data modernization strategy, including Azure Fabric adoption, data lakehouse architecture, and integration of enterprise systems such as ERP, MDM, and analytics platforms.
This role will work closely with business, analytics, and governance teams to deliver scalable, high-performance data solutions that enable trusted, data-driven decision-making.
Responsibilities
What Will You Do?
Design and implement scalable data platforms using Azure (ADLS, Azure SQL, Microsoft Fabric).
Build and optimize ETL/ELT pipelines using Fabric pipelines, notebooks (PySpark/Spark SQL), and Azure Integration Services (ADF, Logic Apps, Event Grid, Service Bus).
Implement Medallion Architecture (Bronze, Silver, Gold) and Lakehouse design patterns.
Develop and maintain data models (dimensional, star/snowflake where applicable).
Integrate data from heterogeneous sources (ERP, APIs, flat files, streaming sources, MDM/PIM systems).
Develop data processing solutions for large-scale structured and unstructured datasets.
Enable Power BI datasets and semantic models to support reporting and analytics.
Implement CI/CD pipelines and DevOps practices using Azure DevOps, GitHub, Repo.
Ensure data quality, governance, lineage, and security using tools such as Microsoft Purview.
Collaborate with Product Owners, Scrum Masters, and stakeholders to translate business requirements into technical solutions.
Lead performance tuning, optimization, and troubleshooting of data pipelines and queries.
Leading cloud migration and modernization initiatives, including legacy system transitions (SSIS, Tabular, Multidimensional cubes).
Drive adoption of modern data architecture principles and best practices.
Collaborate with team members and contribute to establishing engineering standards and reusable frameworks.
Provide ongoing production support and operational maintenance, including monitoring data pipelines, troubleshooting issues, optimizing performance, and ensuring data reliability and availability across the platform.
Ability to manage multiple priorities effectively.
Support data team in the IT systems impact assessment when there is a data change requests.
Qualifications
Experience with Data management systems and processes
8+ years of experience in data engineering, data warehousing, and analytics
6+ years of experience in cloud transformation initiatives
5+ years hands-on experience with Microsoft Azure data platform
3+ years hands-on experience with Azure Fabric / lakehouse architecture
Azure Data Platform
Azure Data Lake Storage (ADLS Gen2)
Azure Data Factory (ADF)
Azure Fabric
Azure SQL Database / Data Warehouse
Strong experience with Azure Integration Services
Logic Apps, Function Apps, Service Bus, Event Grid, API Management
Programming
PySpark, Spark SQL, Python, SQL
Notebook-based development (Databricks / Fabric)
Infrastructure-as-code (Terraform, ARM templates, Bicep)
Data Architecture
Medallion architecture
Lakehouse concepts
3NF, Data warehouse, Dimensional modeling
Integration
REST APIs, JSON, XML, OData, event-driven architectures
DevOps
Azure DevOps (ADO), GitHub, Jenkins
CI/CD pipelines, version control, automation
Reporting
Power BI, Semantic Models
MSBI (Preferred)
Microsoft BI Stack – SSIS, SSRS, SSAS
Soft Skills
Strong communication and ability to engage with business and technical stakeholders
Ability to translate business requirements into scalable technical solutions
Strong analytical and problem-solving skills
Experience working in Agile/Scrum environments
Proactive and adaptable, with the ability to deliver results in evolving environments
with a “get it done” mindset in fast-paced environments
Proven ability to collaborate across cross-functional teams
Demonstrates excellent interpersonal skills with a balanced, collaborative communication style
Experience with 3rd party development partners
Education
Bachelor’s degree required, preferably in technical discipline
Prefer Microsoft certifications in Azure or Fabric
Prefer Prior experience in manufacturing, supply chain, or distribution domains
Skills
- Azure
- ADLS Gen2
- Azure SQL
- Microsoft Fabric
- Fabric pipelines
- PySpark
- Spark SQL
- Azure Integration Services
- ADF
- Logic Apps
- Event Grid
- Service Bus
- Power BI
- Azure DevOps
- GitHub
- Repo
- Microsoft Purview
- Python
- SQL
- Databricks
- Terraform
- ARM templates
- Bicep
- REST APIs
- JSON
- XML
- OData
- Jenkins
- SSIS
- SSRS
- SSAS
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