Lead Data Architect, Partner Development and Innovation
6 days ago
We are seeking a highly skilled Senior Solutions Architect to join our Technology Partners team at Databricks Inc. As a key member of our team, you will play a critical role in driving partner success, championing innovation, and empowering technical excellence.
Key Responsibilities- Drive Partner Success: Collaborate with our partners to ensure their integrations are high-quality, high-performing, and deliver maximum value to our shared customers.
- Champion Innovation: Lead the way in identifying and developing new solutions that benefit both Databricks and our partners, unlocking new opportunities for growth.
- Empower Technical Excellence: Be the technical expert, guiding partners through the entire integration lifecycle, from initial design to ongoing value extraction and improved experiences.
- Amplify Our Message: Craft compelling stories and demonstrations that showcase the power of our partnerships, both internally and externally.
- Shape the Future: Use your insights and partner feedback to influence our product roadmap, ensuring it meets the evolving needs of our partners and customers.
- Build Relationships: Become a trusted advisor to partners, helping them navigate the Databricks platform and build successful integrations, influencing their integration roadmap.
- Data Expertise: Deep understanding of data warehousing, lakehouses, data collaboration, SQL, and the data intelligence platform.
- Technical Acumen: Strong foundation in enterprise architecture, data products, and programming languages like Python, Scala, or Java.
- Problem-Solving Prowess: Ability to tackle complex technical challenges and find elegant solutions.
- Collaboration: Experience working in partner-focused roles, building strong relationships, and driving collaborative success.
- Communication: Excellent written and verbal communication skills, with the ability to effectively present technical concepts to diverse audiences.
- Familiarity with major cloud platforms (AWS, Azure, GCP)
- Expertise in streaming technologies (Apache Spark, Hadoop, Kafka)
- Openness to travel (domestic and international)
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