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Azure Data Architect
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ob Title: Azure Data Architect
Location: Remote
Duration: 12+ Months Contract
Job Description:
Must Have Skills:
- PySpark or Scala
- Synapse
- Spark SQL
- Delta lakes
PRIMARY PURPOSE OF POSITION
1) Support and refine data and analytics technology stack with an emphasis on improving reliability, scale, and availability.
2) Assist in the design and management of enterprise grade data pipelines and data stores that will be used for developing sophisticated analytics programs, machine learning models, and statistical methods.
3) Experience delivering data solutions via Agile methodologies and designing CI/CD workflows.
PRIMARY DUTIES AND ACCOUNTABILITIES
1 Create and maintain optimal data pipeline architecture 20
2 Assemble large, complex data sets that meet functional / non-functional business requirements. 20
3 Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 20
4 Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies. 20
5 Deliver automation & lean processes to ensure high quality throughput & performance of the entire data & analytics platform.? 10
6 Work with data and analytics experts to strive for greater functionality in our analytics platforms. 10
Minimum: Preferred:
Experience in building/operating/maintaining fault tolerant and scalable data processing integrations using Azure
Experienced using Azure Data Factory or Synapse Analytics
Experienced using Databricks & Apache Spark
Strong problem-solving skills with emphasis on optimization data pipelines
Excellent written and verbal communication skills for coordinating across teams
A drive to learn and master new technologies and techniques
Experienced in DevOps and Agile environments and using CI/CD pipelines.
1) Support and refine data and analytics technology stack with an emphasis on improving reliability, scale, and availability.
2) Assist in the design and management of enterprise grade data pipelines and data stores that will be used for developing sophisticated analytics programs, machine learning models, and statistical methods.
3) Experience delivering data solutions via Agile methodologies and designing CI/CD workflows.
PRIMARY DUTIES AND ACCOUNTABILITIES
1 Create and maintain optimal data pipeline architecture 20
2 Assemble large, complex data sets that meet functional / non-functional business requirements. 20
3 Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 20
4 Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies. 20
5 Deliver automation & lean processes to ensure high quality throughput & performance of the entire data & analytics platform.? 10
6 Work with data and analytics experts to strive for greater functionality in our analytics platforms. 10
Minimum: Preferred:
Experience in building/operating/maintaining fault tolerant and scalable data processing integrations using Azure
Experienced using Azure Data Factory or Synapse Analytics
Experienced using Databricks & Apache Spark
Strong problem-solving skills with emphasis on optimization data pipelines
Excellent written and verbal communication skills for coordinating across teams
A drive to learn and master new technologies and techniques
Experienced in DevOps and Agile environments and using CI/CD pipelines.
Experience using Docker or Kubernetes is a plus
Demonstrated capabilities with cloud infrastructures and multi-cloud environments such as Azure, AWS, IBM cloud
Experience architecting transactional based data platforms
Experience architecting real-time/event streaming data platforms (IoT)
Demonstrated capabilities with cloud infrastructures and multi-cloud environments such as Azure, AWS, IBM cloud
Experience architecting transactional based data platforms
Experience architecting real-time/event streaming data platforms (IoT)
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.
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