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Job Summary


Job Type
Permanent

Seniority
Senior

Years of Experience
Information not provided

Tech Stacks
Analytics
R
Databricks
Azure
Spark
Scala
Cassandra
Hadoop
Python
AWS
Java

Job Description


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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 Solutions Architect Manager.

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 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

Benefits

  • Private medical, dental and optical
  • Life, accident, disability and critical illness coverage
  • Central Provident Fund for local nationals
  • Equity awards
  • Paid parental leave
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel accident insurance

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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