Data Architect

Nimble Gravity

8d

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees