Job description

WHAT YOU WILL GET TO DO - Solution Design & Delivery - Architect scalable data and AI solutions using Databricks, aligned with customer goals and industry best practices. - Lead high-impact engagements across data engineering, data science, and ML/AI workloads. - Ensure successful integration of Databricks within cloud (AWS, Azure, GCP). - Build reference architectures, accelerators, and reusable assets for repeatable client success. Customer & Partner Engagement - Serve as a trusted advisor to clients, understanding business needs and translating them into technical solutions. - Lead POCs and client workshops to demonstrate Databricks capabilities and value. - Provide post-implementation support and guide customers through optimization and scale. - Participate and contribute to presales efforts and actively engage in discovery sessions with the client.Databricks Partner Program Leadership - Act as the primary technical liaison for the Databricks partnership, driving joint GTM activities, solution alignment, and strategic initiatives. - Influence and shape the partner relationship by engaging in joint marketing, co-sell motions, roadmap alignment, and feedback loops. - Represent Wavicle in Databricks partner forums, technical communities, and summits. Internal Enablement & Thought Leadership - Mentor internal teams on Databricks architecture, tools, and best practices. - Build internal capabilities through training programs, certifications, and knowledge sharing. - Publish blogs, whitepapers, or speak at events to establish thought leadership in the Databricks space. WHAT YOU BRING TO THE TEAM - 10+ years of experience in data engineering, data architecture, or related fields with significant hands-on expertise in Databricks. - Proficiency in cloud platforms (AWS, Azure, GCP), especially cloud-native services and security. - Strong skills in Python, Spark, and SQL for distributed data processing. - Understanding of ML lifecycle and experience with frameworks such as TensorFlow, PyTorch, or scikit-learn. - Strong communication skills and ability to influence both technical and business stakeholders. Preferred Qualifications: - Databricks certifications (e.g., Lakehouse Fundamentals, Data Engineer Associate/Professional, Machine Learning certifications). - Cloud certifications (e.g., AWS Solutions Architect, Azure Solutions Architect Expert). - Experience in partner-facing roles or supporting ISV/partner alliances. Key Competencies: - Strategic and forward-thinking mindset. - Strong customer and partner relationship skills. - Collaborative and adaptable across cross-functional teams. - Influencer and advocate within technical and partner communities. - Bias for action, ownership, and results. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D - Unlimited Paid Time Off (Vacation, Sick & Public Holidays) - Short Term & Long Term Disability - Employee Assistance Program - Training & Development - Work From Home - Bonus Program

Requirements