NRI North America
Solution Architect - Azure Data Analytics
Designs and implements cloud-based data analytics solutions for enterprise clients using Azure technologies, focusing on data modeling, ETL/ELT pipelines, and analytics services like Azure Synapse and Analysis Services.
- Compensation
- $130K–$165K / yr
- Location
- Worldwide
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Ability to work independently and as a team member
- Strong written and oral communication skills
- Strong troubleshooting skills
- 3+ years of data engineering and modeling experience
- Design end-to-end data analytics solution architecture
- Deep understanding of Agile engineering practices
- Data Warehousing, ETL/ELT, Data Modeling (Dimensional/Kimball)
- Proficiency in T-SQL, Azure Data Factory, Azure Data Lake Store, SQL Server/Azure SQL
- Azure Analysis Services or SSAS (Tabular)
- Azure DevOps/Continuous Integration & Continuous Delivery
Nice to have
- Azure Synapse/Azure SQL Data Warehouse
- Power BI/DAX, Databricks, Azure Functions, Azure Logic Apps
- Azure AD, Data Vault, Python, Database administration
- Application development experience, previous consulting experience
Full description
NRI North America is looking for an Azure Data and Analytics Solution Architect to join our growing team. You will work alongside your peers to design, build, and deliver end-to-end data and analytics solutions for enterprise clients. You should have data engineering experience in Azure and be familiar with modern data platform technologies like Azure Analysis Services, Azure Data Lake, Azure Databricks, Azure Data Warehouse, and Azure Data Factory.
Essential Duties
- Discuss best practices and strategies for modern data and analytics with clients
- Integrate data sources to build models and reports for business users
- Configure and operationalize cloud infrastructure in Azure
- Speak intelligently to Microsoft’s cloud data strategy and roadmap
- Stay current Microsoft technologies and modern data platform best practices
Required Skills - Consulting
- Ability to work independently and as a member of a team
- Strong written and oral communication skills
- Strong troubleshooting skills
- Ability to adjust to new client cultures and projects
- Adapt positively to change by embracing new practices, processes, or circumstances
- Present a positive, professional, and self-confident image
- Respond to clients in a timely and professional manner
- Understand and strive to consistently meet or exceed client expectations
- Collaborate with clients to identify and address their business needs
- Communicate accurately, concisely, and effectively
- Respectfully listen to others’ ideas and concerns with an open mind
Required Skills - Leadership
- Display a strong commitment to NRI's vision, mission, and values
- Meet commitments to others and deliver on time
- Hold self and others accountable for responsibilities
- Accept responsibility for own decisions and actions without excuses
- Self-starter
Required Skills - Technical
- Data engineering experience in Azure and be familiar with modern data platform technologies like Azure Analysis Services, Azure Data Lake, Azure Databricks, Azure Data Warehouse, and Azure Data Factory.
- 3+ years of experience in data engineering and modeling
- Ability to design an end-to-end data analytics solution architecture and drive its implementation
- Deep understanding of Agile engineering practices
- Data Warehousing
- Data ETL/ELT
- Data Modeling (Dimensional/Kimball)
- T-SQL
- Azure Data Factory (or strong SSIS experience)
- Azure Data Lake Store
- SQL Server/Azure SQL
- Azure Analysis Services or SQL Server Analysis Services (SSAS) - Tabular