Description

Responsibilities

  • Leverage enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses.
  • Guide high level data architecture design (functional, non-functional) and ensures teams adhere to data architecture standards.
  • Develop information processes for data acquisition, data transformation, data migration, data verification, data modeling, and data mining.
  • Accountable for cost viability and technical estimation of data platform usage.
  • Design data solutions for data distributions and partitions, scalability, disaster recovery and high availability.
  • Design security for data policies and standards.
  • Monitor and optimize data solutions.
  • Actively governs and automates standard data architecture patterns and blueprints.
  • Partner with architecture, security, infrastructure, and application teams to design and implement the automation of data, data platforms, and tools.
  • Create and update automation to eliminate routine management processes.
  • Articulate the need for scalability and understand the importance of improving quality through testin.

Required Skills

  • In depth understanding and proficiency in automation of cloud platforms and data platforms.
  • Expertise in on-prem and cloud database automation and platform automation with Azure.
  • Proficiency with cloud automation tooling such as Ansible and Terraform.
  • Proficiency with DevOps and CI/CD methodologies and tools for automated infrastructure code test, integration, deployment, and assurance.
  • Proficiency with Languages such as Ruby, bash, Python or Go.
  • Strong problem-solving skills.
  • Strong collaboration skills and excellent verbal and written communication skills.

Required Experience

  • 5+ years of hands-on experience with data platforms.
  • Experience in designing data solutions in Azure including data distributions and partitions, scalability, disaster recovery and high availability.
  • Experience in monitoring and optimizing data solutions in Azure including using Azure Monitor.
  • Experience in implementing data solutions in Azure including Azure SQL.
  • Azure Synapse, Cosmos DB, Databricks, ADLS, Blob Storage, ADF, Azure Stream Analytics.
  • Experience in designing security for data policies and standards.
  • Experience with Software Development and automation methodologies.
  • Experience with data security best practices.

Education Requirements

  • Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.


 

Key Skills
Education

Any Graduate

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