Senior Data Architect

3 weeks ago

Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom NRG Resourcing Ltd Full time

We are seeking a highly skilled Senior Data Architect to lead our cloud-based data infrastructure design and development. As a key member of our team, you will be responsible for leveraging Azure technologies to build robust data architectures that support the needs of various business units.

The ideal candidate will have 5+ years of experience in data engineering, with a focus on cloud-based solutions. Strong expertise in Microsoft Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks, and Azure SQL is required. Proficiency in SQL, Python, or Scala for data processing is also necessary.

The successful candidate will be able to design and implement end-to-end data pipelines on Microsoft Azure, develop, optimize, and maintain Azure Data Lake, Azure Synapse, Azure Databricks, and other cloud-based data platforms. They will also be responsible for ensuring high performance, availability, and scalability of our data pipelines and systems.

We are looking for a collaborative team player who can work closely with data scientists, analysts, and other stakeholders to deliver clean, reliable, and accessible data. The ability to manage and monitor cloud resources, ensuring security, compliance, and best practices in data governance, is also essential.

As a Senior Data Architect, you will have the opportunity to lead data engineering initiatives, mentor junior team members, and share best practices in data architecture and development. If you are passionate about building cutting-edge data solutions and want to take the next step in your career, we encourage you to apply.

Key Responsibilities:

  • Design and implement end-to-end data pipelines on Microsoft Azure.
  • Develop, optimize, and maintain Azure Data Lake, Azure Synapse, Azure Databricks, and other cloud-based data platforms.
  • Implement data transformation processes using Azure Data Factory and Databricks to support analytics and business intelligence needs.
  • Ensure high performance, availability, and scalability of our data pipelines and systems.
  • Collaborate with data scientists, analysts, and other stakeholders to deliver clean, reliable, and accessible data.
  • Manage and monitor cloud resources, ensuring security, compliance, and best practices in data governance.
  • Automate workflows and optimize data processes to minimize manual intervention and improve efficiency.
  • Lead data engineering initiatives, mentoring junior team members, and sharing best practices in data architecture and development.

Requirements:

  • 5+ years of experience in data engineering, with a focus on cloud-based solutions.
  • Strong expertise in Microsoft Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks, and Azure SQL.
  • Proficiency in SQL, Python, or Scala for data processing.
  • Experience with ETL/ELT design patterns and building scalable, distributed data architectures.
  • Deep understanding of data modelling, data warehousing, and data integration best practices.
  • Knowledge of Azure DevOps and infrastructure automation tools like Terraform or ARM templates.

Preferred Qualifications:

  • Experience with big data technologies like Spark, Hadoop, or Kafka.
  • Knowledge of data governance, security, and compliance frameworks in the cloud.
  • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect.

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