Senior Data Architect

🕒 June 2

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Nimble Gravity

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Nimble Gravity is a company specializing in AI acceleration and automation services, leveraging cutting-edge data science, generative AI, and digital technologies to transform business challenges into growth opportunities. They provide a comprehensive suite of services, including predictive and prescriptive analytics, digital transformation strategies, software engineering, e-commerce solutions, and CRM optimization, particularly using Salesforce. Nimble Gravity is known for creating AI-powered solutions such as automated generative AI agents and data-driven e-commerce strategies, helping businesses accelerate their digital transformation and improve decision making.

📋 Description

• 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.

🎯 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. • Relevant Microsoft Azure data certifications are a plus.

🏖️ Benefits

• Health insurance • Professional development