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Databricks

Builds cloud software for data analysis and AI

Solutions Architect

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

About the Job

Requirements

  • 12 or more years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
  • 8 or more years of hands-on experience with big data and AI technologies, including Apache Spark, data engineering, data science, and modern AI/ML workloads.
  • Strong hands-on architectural experience, including the ability to whiteboard, design, and personally build end-to-end solutions.
  • Demonstrated experience working with large enterprise or Fortune 500 customers.
  • Strong consulting or customer-facing experience working with external clients across a variety of industries.
  • Coding experience in Python, SQL, Scala, Java, or R.
  • Experience building distributed data systems at enterprise scale.
  • Hands-on experience with at least one major public cloud: AWS, Azure, or GCP.
  • Availability to travel to customers in the region and occasionally internationally.

Responsibilities

  • Serve as the trusted technical advisor for one or more named strategic accounts, building durable relationships with data, AI/ML, and platform engineering leaders and contributing to important architectural decisions.
  • Partner with customers' data science, machine learning, and AI platform teams to shape AI strategy, design generative AI and machine learning architectures, evaluate build-versus-buy decisions, and develop production systems deployed on Databricks.
  • Partner with the sales team and provide hands-on technical leadership to help enterprise customers understand how Databricks can solve their business problems across the data and AI lifecycle.
  • Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, and generative AI, including validating integrations with cloud services, in-house tools, and third-party applications.
  • Work with the sales team to develop a book of business, define account strategies, and execute those strategies to help customers and prospects solve business problems with Databricks.
  • Collaborate across regions with Solutions Architects and account teams to provide consistent architectural guidance across customers' international operations.
  • Develop expertise in, promote, and recruit contributors for Databricks-inspired open-source projects, including Spark, Delta Lake, MLflow, and Unity Catalog.
  • Guide customers through the competitive landscape, best practices, and implementation, and develop technical champions.

Desired Qualifications

  • Experience supporting global accounts across multiple geographies.
  • Experience working with digital-native or SaaS enterprises with mature data and AI practices.
  • Prior experience working in or with a Global Capability Center model.
  • 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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