This position may no longer be available
This job was last seen 3 days ago. The listing may have been removed by the employer.
Solutions Architect (Pre-sales) - Financial Services
Skills & Technologies
Joblaze summary
In the role of Pre-sales Solutions Architect at Databricks, the individual will engage directly with clients in the Financial Services sector, guiding them through the technical evaluation of the Databricks Lakehouse Platform. Key skills include expertise in big data technologies, cloud architecture, and coding in languages like Python or Scala. This position is ideal for someone with a background in pre-sales or consulting, particularly those experienced in data engineering or data science. The role also offers opportunities to lead workshops and foster relationships within the technical community.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 789 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 2358 active Python roles on Joblaze right now.
- 1250 active AWS roles on Joblaze right now.
- 772 active GCP roles on Joblaze right now.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Data Engineering, Java, Hadoop, Big Data, Cassandra.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Architect (Pre-sales) - Financial Services role at Databricks.
From the original posting
Req ID: FEQ427R123
Location: Tokyo, Japan
As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Financial Services field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Senior Manager of Field Engineering.
The impact you will have:
- You will be a Big Data Analytics expert on aspects of architecture and design
- Lead your prospects through evaluating and adopting Databricks
- Support your customers by authoring reference architectures, how-tos, and demo applications
- Integrate Databricks with 3rd-party applications to support customer architectures
- Engage with the technical community by leading workshops, seminars and meet-ups
- Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value
What we look for:
- Pre-sales or post-sales experience working with external clients 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 advantageous
- Experience demonstrating technical concepts, including presenting and whiteboarding
- Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
- Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
- Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
- Experience working with Enterprise Accounts
- Written and verbal fluency in Japanese and English
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 click here.
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.