Solutions Architect, Data & AI – Databricks

Full time @Databricks Career in Data Science
  • Seoul, South Korea, Seoul, Seoul, South Korea View on Map
  • Post Date : January 31, 2022
  • Apply Before : May 1, 2022
  • View(s) 29
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Job Detail

  • Job ID 41998
  • Career Level Mid-Senior
  • Gender All
  • Qualifications certificate
  • Language Requirement
  • Region Asia-Pacific
  • Other Classifications startup
  • Special Programs y-combinator
  • Remote No
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Job Description

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 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 Field Engineering Manager.
The impact you will have:

You will be a Big Data Analytics expert on aspects of architecture and design
You will lead your prospects through evaluating and adopting Databricks
You will support your customers by authoring reference architectures, how-tos, and demo applications
You will help integrate Databricks with 3rd-party applications to support customer architectures
You will engage with the technical community by leading workshops, seminars and meet-ups
You will partner with your Account Executive, and form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

3+ years of 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 Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
Fluent coding experience in Python or Scala implementing Spark, Java and R is also desirable
Experience working with Enterprise Accounts
Written and verbal fluency in both English and Korean

Benefits

Benefits allowance
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance

About Databricks
Databricks is the data and AI company. More than 5,000 organizations worldwide €” including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 €” rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark„¢, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
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