.png)
FEQ425R233
As a Senior Partner Solutions Architect, you will engage and develop deep technical executive relationships with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and the technical and sales team members who work directly with our customers. You will further develop the 'technical champions' within our top C&SI Partners to CoE, providing strategic vision on technical matters related to the Databricks vision aligned to the GSI execution.
Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the application of the Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the Manager of Partner Solutions Architects for EMEA and VP for Field Engineering in EMEA
The impact you will have:
- Provide our technical executives in our top GSIs with the thought leadership for both the Data and AI Domain and Databricks roadmaps
- Engage with the partner technical exec leadership by leading workshops, and seminars
- Engage the Delivery Solution Architects in top Accounts to proactively drive, or unblock partner delivery in the account
- You will be an expert on aspects of architecture and design and will share this with our partner network to drive delivery of the platform
- Show expertise by producing creative technical solutions and blog posts
Experience we look for:
- Experienced Technical Executive
- Ability to align multiple technical product and program roadmaps to a Partner business
- Pre-sales or post-sales experience working with external clients or partners across a variety of industry markets
- Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science
- Experience demonstrating technical concepts, including presenting and whiteboarding
- Experience developing architectures within a public cloud (AWS, Azure, or GCP)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
