Mohawk Industries needs a Cloud Data Architect to deliver BI solutions within the Flooring North America Data & Analytics team, leveraging Microsoft Cloud data platform services to develop reports based on new and existing data sources.
Requirements
- Hands-on experience with Microsoft Cloud data platform services like Azure data factory, Azure databricks, Azure datalake storage, Power BI, Microsoft fabric
- Experience in configuring and managing Azure Virtual networks (Vnets), Hub and spoke network architecture, subnets and network security groups
- Experience in Azure cloud resource management e.g. create, configure, and manage Azure resources (e.g. virtual machines, storage accounts, networks)
- Experience in monitoring azure resources, identify issues and troubleshooting problems
- Experience in security and compliance
- Experience in automating tasks using Azure CLI, Power Shell, and Azure Resource Manager (ARM)
- Experience in implementing Azure cloud backup and disaster recovery strategies
Responsibilities
- Served as Cloud Data Architect for implementing Azure Cloud Data platform and services
- Strong experience in extracting, transformation, and landing data from various sources into data lakes, data warehouses and data marts using ETL tools such as Azure data factory and Custom Scripts
- Implement and enhance the automated release process by which Azure DevOps (ADO) offering software flows from the developers to the customers
- Strong experience in working with data transformation tool DBT (Data Build Tool) on top of Azure Databricks
- Experience in developing spark applications using Spark-SQL in databricks for data extraction, transformation, and aggregation from multiple file format for analyzing and transforming the data to uncover insights into the customer usage pattern
- Good understanding of Spark Architecture including spark Core, spark SQL, Data frame, Spark Streaming, driver Node, worker node, stages, executors, and tasks
- Deploying Databricks Notebooks using programming languages spark framework
Other
- A bachelor’s degree from an accredited educational institution in a technical discipline (computer science, engineering, information systems)
- 5+ years’ experience in data extraction from multiple sources and building datalakehouse solution in Microsoft platform using Azure Data Factory, Azure Databricks and DBT as data transformation tool
- Ability to work independently with minimal oversight, be proactive and resourceful (startup mentality)
- Superior interpersonal, written, presentation, and communication skills
- Excellent oral, written, presentation and interpersonal communications skills
