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Nimble GravityNG

Sr Data Architect

Nimble Gravity is a technology company focusing on Data Science and Generative AI, dedicated to transforming business challenges into growth opportunities.

Nimble Gravity

Employee count: 51-200

United States only

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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.

Key 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.

Qualifications:

  • 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.

About Nimble Gravity

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Nimble Gravity

Learn more about Nimble Gravity and their company culture.

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At Nimble Gravity, we leverage cutting-edge Data Science, Generative AI, and Digital technologies to transform challenges into growth opportunities, driving your business forward with innovative solutions. Our expertise spans a range of services including the development of automated generative AI agents, predictive analytics, and comprehensive digital transformation strategies.

Our Generative AI capabilities enable the creation of complex documents and the intelligent extraction and classification of information tailored to overcome specific challenges. In addition, we provide actionable business insights through our data science expertise, which empowers organizations to make informed and quicker decisions. With our digital transformation services, we support businesses in building and growing omnichannel go-to-market models, digitizing existing value propositions, and selecting the optimal technology and platforms for their needs. By partnering with our expert engineering teams, we ensure project results are tailored specifically to your requirements, fostering long-term technical knowledge within your organization.

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