Lead Solutions Architect
Lead Solutions Architect
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Job Description
FEQ326R60
At Databricks our core values are at the heart of everything we do. Creating a culture of proactiveness and a customercentric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a userfriendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity experimentation and continuous improvement. As a recognized thought leader you will be measured by your impact and contributions to impactful initiatives such as leading SME teams and delivering regular presentations at conferences and industry events.
Youll work with a collaborative customerfocused team that values innovation and creativity using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
The impact you will have:
- Lead and manage complex enterprise customer accounts with custom requirements and exceptional care.
- Deliver compelling demos and pitches to budget holders showcasing a deep understanding of the Banking and Insurance domain.
- Be a role model within Field Engineering be recognized as a leader and exemplify Databricks core principles.
- Collaborate with Field Engineering leaders to mentor and develop Solutions Architects and Senior SAs.
- Contribute to Databricks technical community engagement by developing customerfacing collateral and leading workshops seminars and meetups.
- Work across the region to develop and implement best practices and efficient processes.
- Develop your internal network within Databricks to establish close relationships with key stakeholders as SME products and Financial Services leaders.
What we look for:
- Experienced in complex customer interactions and sales lifecycle in a technical presales capacity.
- Ability to drive technical and business conversations with Clevel executives of financial institutions to develop relationships orchestrate teams and influence outcomes to achieve longterm customer success.
- Skilled in identifying and prioritising key use cases resource allocations and investment focus.
- Strong experience in the Data landscape with a proven trackrecord of successful engagements in at least one Data Engineering or Data Science discipline.
- Prior experience with coding in a core programming language (i.e. Python Java Scala) and willingness to learn a base level of Spark.
- Handson expertise with complex proofsofconcept and public cloud platform(s).
- Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
Employment Type
Full Time
