Sr. Solutions Architect
Databricks6 months ago
Bengaluru, IndiaSenior
Responsibilities
- Partner with sales teams to provide technical leadership and explain how Databricks can solve customer business problems.
- Develop account strategies and a book of business with sales teams and execute those strategies for customers and prospects.
- Consult on Big Data architectures and implement proofs of concept spanning data engineering, data science, machine learning, and SQL analysis workflows.
- Validate integrations with cloud services, internal tools, and third-party applications.
- Collaborate with product and engineering teams to influence the Databricks roadmap.
- Develop customer architectures and solutions, guide implementation and competitive evaluations, and build technical champions.
- Promote Databricks open-source projects and recruit contributors from the developer community.
Requirements
- 8+ years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
- 8+ 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 varied 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 customers in the assigned region.
- Databricks Certification is preferred.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through the Databricks benefits portal.
- Travel to customers in the assigned region is required.
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.