Solutions Architect - Digital Natives/Start-ups

Posted Yesterday
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London, Greater London, England
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
As a Solutions Architect, you will build strong relationships with clients, provide technical expertise in big data analytics, and help customers adopt the Databricks platform. You will create reference architectures, lead workshops, and develop customer solutions while collaborating with account executives to drive business value.
Summary Generated by Built In

REQ ID - FEQ425R222

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric 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 user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused 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!

Reporting to Senior Manager, Field Engineering.

The impact you will have:

  • Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
  • Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
  • Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
  • Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

  • Experience in technical and presales consulting with background experience in Digital Natives and Start-up Organisations in Big Data and AI solutions sales.
  • Experience in any of the following advantage: Data Governance, DWH, GenAI, MLOps, Data Ops, FinOps, MEDDIC
  • Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
  • Develop customer relationships and build internal partnerships with account executives and teams.
  • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and Spark (or willing to learn this).
  • Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
  • Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
  • Nice to have: Databricks Certification(s)

Benefits

  • Private medical insurance
  • Private dental insurance
  • Health Cash Plan
  • Life, income protection & critical illness insurance
  • Pension PlanEquity awards
  • Enhanced Parental Leaves
  • Fitness reimbursement
  • Annual career development fund
  • Home office & work headphones reimbursement
  • Business travel accident insurance
  • Mental wellness resources
  • Employee referral bonus

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

Java
Python
Scala
The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

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.

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