Databricks Solutions Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Aimpoint Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

Artificial Intelligence • Analytics • Consulting

Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.

📋 Description

• Engage in multi-disciplinary teams to deliver complex AI, Engineering and Data & Analytics cases on the Databricks platform • Serve as a Databricks subject matter expert for our internal community of technical analytics consultants • Provide technical leadership and hands-on delivery on projects in a consulting role • Create and deliver engaging technical and thought leadership content on the latest Databricks features and best practices • Build and deliver end-to-end technical tool demonstrations of Databricks functionality & interoperability • Support channel and sales activities to provide architecture advisory for prospective clients and projects • Contribute to the growth of our partnership with Databricks in the UK as a technical leader

🎯 Requirements

• Degree-educated in Computer Science, Data Science, Engineering, Mathematics, or equivalent experience • Strong consulting (7+ years), communication and presentation skills • Ability to work independently and collaboratively in a fast-paced, remote & customer-facing setting • Deep familiarity with Databricks features including AI, ML, Engineering and Analytics features • 7+ years consulting (or equivalent) experience required • 7+ years Databricks solution design, implementation, engineering experience required • Either 5+ years building data pipelines in Databricks using PySpark, Scala and/or Spark SQL OR 5+ years ML Engineering or AI Engineering deploying, promoting and serving ML models • Hands-on, working experience with streaming + front end development experience • Hands-on, working knowledge of Agent Ready Data architectures • Hands-on, working knowledge of Databricks ML and Gen AI features is required • Expertise in software engineering or DevOps concepts & best practices is preferred • Experience in terraform deploying and configuring metastores and workspaces on any cloud platform highly desirable • Any Databricks certificates are highly regarded • Willingness to travel

🏖️ Benefits

• Fully remote work • Opportunities for professional development and growth • Collaborative work environment • Engagement in innovative AI and Data Engineering projects