Senior Solutions Architect
Databricks2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Provide technical leadership alongside the sales team to demonstrate how Databricks can solve customer business problems.
- Develop account strategies and support the sales team in building and executing a book of business.
- Consult on big data architectures and implement proofs of concept across data engineering, data science, machine learning, and SQL analysis workflows.
- Validate integrations with cloud services, internal tools, and third-party applications.
- Collaborate with Solutions Architects and customer-facing teams to develop architectures and solutions.
- Advocate for customers with product and engineering teams and help influence the Databricks roadmap.
- Promote Databricks open-source projects and recruit contributors from the developer community.
- Travel to customers within the assigned region.
Requirements
- 15+ years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
- 10+ years of experience with big data technologies, including Apache Spark, AI, data science, data engineering, Hadoop, and Cassandra.
- Strong consulting and customer-facing experience with external clients across multiple industries.
- 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 regional customers.
- Databricks Certification is preferred.
Benefits
- Hybrid work arrangement based in Bengaluru.
- Comprehensive regional benefits and employee perks are offered, with specific details provided by location.
Tech Stack
Apache CassandraApache HadoopApache SparkAWSAzureDatabricksGoogle Cloud PlatformJavaMLflowPythonRScalaSQL
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.