About this role
Databricks sits under a large share of the world's serious data and AI work, and a solutions architect is the technical person who gets a customer's data teams to real outcomes on it. The requirement list is genuinely deep rather than a sales list with technical decoration: 8+ years in data engineering, data science or technical architecture, 8+ years with big data technologies including Apache Spark, Hadoop and Cassandra, coding in Python, R, Java, Spark or Scala, experience building distributed data systems, and solutions built on public cloud. You act as technical advisor to the sales team and as an advocate for your customers with product, and part of the role is becoming an expert in and recruiting contributors for Databricks originated open source projects, namely Spark, Delta Lake and MLflow. That open source community half is unusual and worth weighing.
Who this is for
Databricks asks for 8+ years in a data engineering, data science, technical architecture or similar pre sales or consulting role, and separately 8+ years of experience with big data technologies including Apache Spark, AI, data science, data engineering, Hadoop and Cassandra.
Also required: strong consulting and customer facing experience working with external clients across a variety of industry markets. 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.
What you will do: work with sophisticated data engineering and data science teams to help them achieve data driven outcomes on the Databricks platform, integrating it into their enterprise ecosystem. Act as technical advisor internally to the sales team and work with the product team as an advocate for your customers in the field. Become an expert in, promote and recruit contributors for Databricks inspired open source projects (Spark, Delta Lake, MLflow) across the developer community.
Location: Bengaluru.
⚠️ Commercial framing, stated plainly so you can judge it. The posting says you will work directly with the sales team to develop your book of business, define account strategies and execute them. We publish technically demanding customer facing roles and reject ones that are sales jobs with a technical title, and this one clears that line on the strength of its 8+ years of hands on data engineering and coding requirements. But the book of business language is in the posting and you should read it as meaning your work will be measured commercially as well as technically.
Honest fit guidance: this is one of the more technically credible pre sales roles you will see, and the open source advocacy element makes it a genuinely good platform for building a public profile in the data community. It suits a senior data engineer who has realised they enjoy the customer conversations more than the pipeline maintenance. It does not suit someone looking to avoid commercial pressure, and it does not suit someone who wants to keep building product.
Also required: strong consulting and customer facing experience working with external clients across a variety of industry markets. 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.
What you will do: work with sophisticated data engineering and data science teams to help them achieve data driven outcomes on the Databricks platform, integrating it into their enterprise ecosystem. Act as technical advisor internally to the sales team and work with the product team as an advocate for your customers in the field. Become an expert in, promote and recruit contributors for Databricks inspired open source projects (Spark, Delta Lake, MLflow) across the developer community.
Location: Bengaluru.
⚠️ Commercial framing, stated plainly so you can judge it. The posting says you will work directly with the sales team to develop your book of business, define account strategies and execute them. We publish technically demanding customer facing roles and reject ones that are sales jobs with a technical title, and this one clears that line on the strength of its 8+ years of hands on data engineering and coding requirements. But the book of business language is in the posting and you should read it as meaning your work will be measured commercially as well as technically.
Honest fit guidance: this is one of the more technically credible pre sales roles you will see, and the open source advocacy element makes it a genuinely good platform for building a public profile in the data community. It suits a senior data engineer who has realised they enjoy the customer conversations more than the pipeline maintenance. It does not suit someone looking to avoid commercial pressure, and it does not suit someone who wants to keep building product.
Apply on company site
Opens databricks.com, the employer's own application page. Applying is always free.