Databricks Solution Architect

Detailed JD 

Responsibilities:

• Technical Leadership: Serve as the primary technical point of contact for the assigned customer account, providing expert guidance on Databricks architecture, best practices, and implementation.
• Solution Design & Implementation: Collaborate with the customer to understand their business requirements and translate them into technical solutions leveraging the Databricks Lakehouse Platform. Lead the design, development, and deployment of these solutions.
• Hands-on Development: Engage in hands-on development activities, including writing code (Spark, Python, SQL, etc.), configuring Databricks clusters, optimizing performance, and integrating with other systems.
• Proof of Concept (POC) Development: Lead the development of POCs to demonstrate the value of Databricks and address specific customer use cases.
• Technical Enablement: Conduct training and workshops for the customer's technical teams, empowering them to effectively use the Databricks platform.
• Relationship Management: Build and maintain strong relationships with key stakeholders within the customer organization, including technical leads, architects, and business executives.
• Customer Advocacy: Act as a customer advocate, providing feedback to Databricks product management and engineering teams on product enhancements and feature requests.
• Sales Support: Assist the sales team in identifying and qualifying new opportunities within the assigned account. Contribute to technical proposals and presentations.
• Project Management: Manage technical projects related to Databricks implementations, ensuring timely delivery and successful outcomes.
• Thought Leadership: Contribute to the Databricks community by sharing best practices, writing blog posts, and presenting at conferences.

Qualifications:

• Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree or PhD preferred.
• Experience: [Specify years] years of experience in data engineering, data science, or a related field, with a focus on cloud-based solutions.
• Technical Skills:
  • Deep understanding of distributed computing frameworks (e.g., Apache Spark).
  • Proficiency in programming languages such as Python, SQL, Scala, or Java.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP).
  • Experience with data warehousing, data lake architectures, and ETL processes.
  • Knowledge of machine learning algorithms and techniques is a plus.
  • Familiarity with DevOps practices and tools.
  • Experience with Databricks Lakehouse Platform is highly desirable. If lacking, strong experience with similar technologies and a demonstrated ability to quickly learn new platforms is crucial.
• Soft Skills:
  • Excellent communication, presentation, and interpersonal skills.
  • Strong problem-solving and analytical skills.
  • Ability to work independently and as part of a team.  
  • Customer-focused and results-oriented.  
  • Ability to manage multiple projects simultaneously.

Preferred Qualifications:

• Databricks certifications. - MUST HAVE
• Experience with specific industry verticals (e.g., finance, healthcare, retail).
• Contributions to open-source projects.