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Databricks

Builds cloud software for data analysis and AI

Senior Solutions Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 15 years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
  • At least 10 years of experience with Big Data technologies, including Apache Spark, artificial intelligence, data science, data engineering, Hadoop, and Cassandra.
  • Strong consulting and customer-facing experience working with external clients across a variety of industry markets.
  • Coding experience in Python, R, Java, Apache Spark, or Scala.
  • Experience building distributed data systems.
  • Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
  • Availability to travel to customers in the region.

Responsibilities

  • Serve as a technical advisor to the sales team and advocate for customers with the product team.
  • Help customers achieve data-driven outcomes using the Databricks Lakehouse Platform, complete data team projects, and integrate the platform into enterprise ecosystems.
  • Collaborate with strategic prospects and customers, and work with product and engineering teams to advance the Databricks roadmap.
  • Work with the customer-facing team to develop architectures and solutions using the platform.
  • Guide customers through the competitive landscape, best practices, and implementation, and develop technical champions.
  • Partner with the sales team and provide technical leadership to help customers understand how Databricks can solve their business problems.
  • Develop a book of business, define account strategies, and execute those strategies to help customers and prospects solve business problems with Databricks.
  • Consult on Big Data architectures and implement proofs of concept for strategic projects involving data engineering, data science, machine learning, and SQL analysis workflows; validate integrations with cloud services, homegrown tools, and third-party applications.
  • Collaborate with other Solutions Architects to support one another and users.
  • Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects, including Spark, Delta Lake, and MLflow.

Desired Qualifications

  • Databricks Certification.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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