Senior Azure Data Architect

6 giorni fa

Milano, Lombardia, Italia NTT DATA A tempo pieno

Job Overview

NTT DATA, a leading global innovator in IT services, is seeking a highly skilled Lead Data Architect specializing in Microsoft Azure.

With a vast network of professionals across more than 50 countries, we are at the forefront of digital transformation, delivering tailored technological solutions to our clients.

Our workforce is our greatest asset, each individual bringing unique talents and perspectives. We have cultivated a Smile Working Company culture that prioritizes the well-being and development of our employees, fostering a collaborative and community-oriented work environment.

We are looking for your expertise to help shape our future.

Key Responsibilities

The Lead Data Architect Azure will be responsible for:

  • Overseeing key client relationships
  • Managing partnerships with Microsoft
  • Leading the Azure Center of Excellence
  • Directing Data & Analytics projects on Azure
  • Assisting in recruitment efforts
  • Enhancing our value proposition
  • Developing skills and capabilities in:
    • Designing data platforms utilizing Azure DATA & AI services, including Synapse, Data Factory, Data Lake Gen2, Stream Analytics, and Purview.
    • Architecting operational frameworks and conducting performance engineering for large-scale data lakes in production settings.
    • Implementing the Microsoft Well Architected Framework (WAF) and Cloud Adoption Framework (CAF) in solution design and execution.
    • Creating and maintaining efficient data pipeline architectures through Azure-native services or data management technologies.
    • Participating in client design workshops, providing insights and recommendations for solution development.
    • Mentoring engineering teams on coding best practices and problem-solving techniques.

Required Qualifications

  • Demonstrated experience in data analytics, preferably within consulting environments.
  • A minimum of 5 years leading teams of BI/data analysts at senior levels.
  • Proficient in Azure cloud-native environments.
  • Knowledge of Big Data architectures, both cloud-based and on-premise.
  • Experience with Azure infrastructure and networking.
  • Familiarity with Azure Load & Ingest services such as Event Hub, Data Factory, and Databricks.
  • Expertise in Azure Storage services, including Data Lake Gen1 and Gen2.
  • Experience with Azure Process & Serve services like Synapse and Stream Analytics.
  • Proven ability to develop proofs-of-concept to meet specific business requirements using appropriate techniques and technologies.
  • Experience in migrating workloads from on-premise to cloud environments.
  • Skilled in monitoring distributed infrastructures using Azure tools or open-source alternatives.
  • Experience with Agile methodologies and Kanban.
  • Strong capabilities in data manipulation and BI tools.
  • Excellent stakeholder management skills, with experience engaging with senior management to drive projects.
  • Proactive in initiative-taking, with exceptional problem-solving abilities and a strong presence to manage cross-functional teams.

Location: Multiple locations available.

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