FEQ427R107

As a Solutions Architect, you will shape the future of the Data & AI landscape
by working with the most sophisticated data engineering and data science teams
in the world. You will be a technical advisor internally to the sales team, and
work with the product team as an advocate of your customers in the field. You
will help our customers to achieve tangible data-driven outcomes through the use
of our Databricks Lakehouse Platform, helping data teams complete projects and
integrate our platform into their enterprise Ecosystem. You'll grow as a leader
in your field, while finding solutions to our customers' biggest challenges in
big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most
strategic prospects and customers, work directly with product and engineering to
drive the Databricks roadmap forward, and work with the broader customer-facing
team to develop architectures and solutions using our platform. You will guide
customers through the competitive landscape, best practices,



and implementation,
and develop technical champions along the way.

This is a Hybrid role, based in Delhi.

The impact you will have:

* You will partner with the sales team and provide technical leadership to help
customers understand how Databricks can help solve their business problems.
* You will work directly with the sales team to develop your book of business,
define account strategies, and execute those strategies to help your
customers and prospects solve their business problems with Databricks.
* Consult on Big Data architectures, implement proof of concepts for strategic
projects, spanning data engineering, data science and machine learning, and
SQL analysis workflows. As well as validating integrations with cloud
services, home grown tools, and other 3rd party applications
* Collaborate with your fellow Solutions Architects, using your skills to
support each other and our users
* Bec

📌 Solutions Architect (India)
🏢 Databricks
📍 India