Sr Data Architect

Nimble Gravity

About The Position

We are seeking a highly skilled and experienced Sr Data Architect to join our team. As a Sr Data Architect, you will be responsible for designing, implementing, and managing data architecture on cloud platforms for our clients. Your expertise will play a critical role for our clients in shaping data strategy, ensuring efficient data integration, storage, and accessibility while maintaining data security and compliance.

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
  • Proven experience (10+ years) as a Data Architect or similar role, with a focus on cloud-based solutions.
  • Strong expertise in Microsoft Azure including their data services such as: Data Platforms (Azure Databricks, Azure SQL Database and Azure Synapse Analytics), Spark Programming (Python, PySpark and SparkSQL), Orchestration and Automation (Azure Data Factory and Logic Apps), Storage (Azure Data Storage Gen2), Event Processing (Kafka and Azure Event Hubs)
  • Knowledge of data security best practices and compliance standards (e.g., GDPR, HIPAA).
  • Excellent problem-solving skills and the ability to analyze complex technical challenges.
  • Strong communication skills to effectively collaborate with technical and non-technical stakeholders.

Nice To Haves

  • Relevant Microsoft Azure data certifications are a plus.

Responsibilities

  • Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud-based data architecture solutions.
  • Design data models, data flow diagrams, and schema structures that optimize data storage, retrieval, and processing on cloud platforms.
  • Design and develop data integration strategies to consolidate data from diverse sources into a unified and coherent format.
  • Evaluate and select appropriate cloud services and tools for various data-related tasks.
  • Work closely with data engineers, data scientists, and other stakeholders to understand their needs and provide architectural guidance.
  • Responsible for overseeing the successful execution of data projects and ensuring the outcomes meet business objectives and technical requirements.
  • Lead and mentor junior team members, promoting knowledge sharing and continuous learning.
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