Databricks
About this role
A pre sales technical role, and worth flagging plainly because Databricks posts Solutions Architect across several Indian cities at very different experience bars. The Delhi posting asks for 5+ years, while the Pune and Bengaluru versions of the same title ask for 8+ and 12+. That makes this the accessible one. You would be the technical advisor to the sales team and the customer's advocate back to product: consulting on big data architectures, building proofs of concept spanning data engineering, data science, machine learning and SQL analytics, and validating integrations with cloud services and third party tools. It is a hybrid role based in Delhi, it involves travel to customers, and it reports to the Field Engineering Manager.
Who this is for
What the posting asks for:
- 5+ years in a data engineering, data science, technical architecture or similar pre sales or consulting role.
- 5+ years 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 a variety of industry markets.
- Coding experience in Python, R, Java, Apache Spark or Scala.
- Experience building distributed data systems.
- Solutions built on a public cloud: AWS, Azure or GCP.
- Availability to travel to customers in your region.
Counts as a bonus:
- Databricks certification.
The day to day: partnering with the sales team and giving technical leadership so customers understand how Databricks solves their problem, helping develop the book of business and define account strategies, consulting on big data architectures, implementing proofs of concept for strategic projects, validating integrations with cloud services and home grown tools, supporting fellow Solutions Architects, and promoting and recruiting contributors for Databricks backed open source projects such as Spark, Delta Lake and MLflow.
Experience: the posting states 5+ years, twice, once for the pre sales or consulting side and once for big data technologies. Compare before you apply: Databricks currently has the same job title live in Delhi at 5+, Bengaluru at 8+ and Pune at 12+. The title alone tells you nothing about the bar.
Location: hybrid, based in Delhi, with travel to customers in the region.
Who should apply: a data engineer or data scientist who enjoys the customer conversation and wants to move into pre sales without waiting until 10 years in. Be clear eyed that this is a commercial role attached to a sales team, with a book of business and account strategy, so it is not a pure engineering job.
- 5+ years in a data engineering, data science, technical architecture or similar pre sales or consulting role.
- 5+ years 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 a variety of industry markets.
- Coding experience in Python, R, Java, Apache Spark or Scala.
- Experience building distributed data systems.
- Solutions built on a public cloud: AWS, Azure or GCP.
- Availability to travel to customers in your region.
Counts as a bonus:
- Databricks certification.
The day to day: partnering with the sales team and giving technical leadership so customers understand how Databricks solves their problem, helping develop the book of business and define account strategies, consulting on big data architectures, implementing proofs of concept for strategic projects, validating integrations with cloud services and home grown tools, supporting fellow Solutions Architects, and promoting and recruiting contributors for Databricks backed open source projects such as Spark, Delta Lake and MLflow.
Experience: the posting states 5+ years, twice, once for the pre sales or consulting side and once for big data technologies. Compare before you apply: Databricks currently has the same job title live in Delhi at 5+, Bengaluru at 8+ and Pune at 12+. The title alone tells you nothing about the bar.
Location: hybrid, based in Delhi, with travel to customers in the region.
Who should apply: a data engineer or data scientist who enjoys the customer conversation and wants to move into pre sales without waiting until 10 years in. Be clear eyed that this is a commercial role attached to a sales team, with a book of business and account strategy, so it is not a pure engineering job.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.