Solutions Architect
Databricks5 months ago
Mumbai, IndiaSenior
Responsibilities
- Partner with sales teams to provide technical leadership and explain how Databricks can solve customer business problems.
- Develop account strategies and execute a book of business with sales teams.
- 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, in-house tools, and third-party applications.
- Collaborate with product and engineering teams to influence the Databricks roadmap.
- Guide customers through competitive options, best practices, implementation, and technical champion development.
- 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.
- Ability to travel to customers in the region.
- Databricks Certification is preferred.
Benefits
- Hybrid role based in Mumbai.
- Comprehensive regional benefits and perks are offered.
- Travel to customers in the 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.