Overview
On Site
$130,000 - $150,000
Full Time
Skills
Azure Data Architect
Data Lake
Data Warehouse
Data ingestion
Data Warehouse Architecture
Databricks
Docker
PySpark
Microsoft Power BI
Extract
Transform
Load
Extraction
API Management
Big Data
Analytics
DataLake
Datawarehouse
Apache Kafka
Nifi
CDC Processing
Azure Data Explorer
HDInsight
Apache Spark
Data Migration
Evaluation
IT Architecture
Apache NiFi
Change Data Capture
Cloud Computing
Customer Acquisition
Database
MapReduce
Microsoft Azure
Operational Efficiency
Optimization
Performance Metrics
Productivity
SQL
Storage
Job Details
Job Role: Azure Data Architect
Location: Chicago, IL
Job Description:
Must Have Technical/Functional Skills
- Azure Data Architect with strong experience in Designing and Implementing Data Lake, Data Warehouse and Data ingestion and processing pipeline using various Azure services. Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse.
- 8+ Years in Data Lake or Datawarehouse Architecture & Delivery.
- Solution /technical architecture in the Azure on Big Data/ Analytics/ Data Lake / Datawarehouse - Data Share, Databricks, Kafka, Nifi, CDC processing, Azure Data Explorer, HDInsight, Data Lake Storage, SQL Database, Docker, Azure Functions, Spark, Data Factory, API Management, Golden Gate, Map Reduce, PySpark, PowerBI.
Roles & Responsibilities
- Design and implement the solution required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure data and analytics services/technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs and digital transformation goals and provide the cloud configuration expertise.
- Responsible for the evaluation of technical risks and map out mitigation strategies
- Execute and implement all aspects of a cloud data migration initiative, including its impact on infrastructure, networks, and security for data projects
- Maintain day-to-day health of cloud data solutions, taking steps to ensure its productivity and optimization.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.