Solutions Architect - Retail
To see similar active jobs please follow this link: Remote Development jobs
P-256
We are open to candidates in the EST time zone of the US.
We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space.
The impact you will have:
You will work with 1-5 clients as the main technical voice for Databricks
You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
You will implement the technical strategy in the account, in close understanding of the strategy
Build a movement of technical champions within the account
Align technical strategies around Databricks solutions
You will provide structured mentorship for other team members
What we look for:
5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
3+ years working in a pre sales capacity or supporting sales activity
Technical in big data, data science and cloud
An ability in data-driven business transformation, and driving change with data
3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
Maintain and extend production data systems to evolve with complex customer needs
Production programming experience in Python, R, Scala or Java
Nice to have: Databricks Certification
About the job
Solutions Architect - Retail
To see similar active jobs please follow this link: Remote Development jobs
P-256
We are open to candidates in the EST time zone of the US.
We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space.
The impact you will have:
You will work with 1-5 clients as the main technical voice for Databricks
You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
You will implement the technical strategy in the account, in close understanding of the strategy
Build a movement of technical champions within the account
Align technical strategies around Databricks solutions
You will provide structured mentorship for other team members
What we look for:
5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
3+ years working in a pre sales capacity or supporting sales activity
Technical in big data, data science and cloud
An ability in data-driven business transformation, and driving change with data
3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
Maintain and extend production data systems to evolve with complex customer needs
Production programming experience in Python, R, Scala or Java
Nice to have: Databricks Certification