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Solutions Architect

Databricks

Databricks

IT
Singapore
Posted on Thursday, May 30, 2024

FEQ225R27

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 Data Intelligence 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 Manager, Field Engineering.

The impact you will have:

  • You will be a Big Data expert on aspects of architecture and design on public cloud
  • 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 Data Engineering and Cloud Architect 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
  • Experience with Data Science and related technologies (R and various algorithms) would be a plus

Benefits

  • Private medical, dental and optical
  • Life, accident, disability and critical illness coverage
  • Central Provident Fund for local nationals
  • Equity 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.

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.