Pre-Sales Solutions Architect

Healthcare & Life Sciences

Confirmed live in the last 24 hours

Locations

London, UK

Experience Level

Entry

Junior

Mid

Senior

Expert

Requirements

Pre- or post-sales experience working with external clients providing thought leadership
We are currently focussing on our Healthcare & Life Sciences and/or Business Services vertical sectors and would very much welcome such experience
As this is a broad and varied role, you should have proven expertise in data, such as data engineering, architecture or data science
Experience demonstrating technical concepts, including presenting and whiteboarding
Experience designing and implementing architectures within a public cloud (AWS, Azure or GCP)
You will have experience with at least some big data technologies, such as Spark, Hadoop, Cassandra, etc. applied to solutions within data engineering, data science, MLOps and platform migrations
Fluent coding experience in one or more of the following: Python, R, Java or Scala
A minimum of a bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent experience through demonstrable work experience

Responsibilities

You will be a big data engineering architect covering Data Engineering and Data Science area
Lead your clients through evaluating and adopting the Databricks lakehouse platform
Support your customers by authoring reference architectures, how-tos, and demo applications
Engage with the technical community (both internal and customer) by leading workshops, seminars and meet-ups
Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

As a Pre-sales Solutions Architect (aata engineering, analytics, AI, big data, public cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a key part of the sales team, acting as a technical advisor, and working 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, establishing a clear architectural vision and identifying compelling use cases, helping our customers realise value. 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. You will report to the Manager, Field Engineering.

The impact you will have:

You will be a big data engineering architect covering Data Engineering and Data Science area
Lead your clients through evaluating and adopting the Databricks lakehouse platform
Support your customers by authoring reference architectures, how-tos, and demo applications
Engage with the technical community (both internal and customer) by leading workshops, seminars and meet-ups
Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

Pre- or post-sales experience working with external clients providing thought leadership
We are currently focussing on our Healthcare & Life Sciences and/or Business Services vertical sectors and would very much welcome such experience.
As this is a broad and varied role, you should have proven expertise in data, such as data engineering, architecture or data science
Experience demonstrating technical concepts, including presenting and whiteboarding
Experience designing and implementing architectures within a public cloud (AWS, Azure or GCP)
You will have experience with at least some big data technologies, such as Spark, Hadoop, Cassandra, etc. applied to solutions within data engineering, data science, MLOps and platform migrations
Fluent coding experience in one or more of the following: Python, R, Java or Scala
A minimum of a bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent experience through demonstrable work experience

Benefits

Private medical, dental and cash refunds for health expenses
Life, disability and critical illness coverage
Group personal pension with company contribution
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel accident insurance

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

1,001-5,000 employees

Website

Unified, open platform for enterprise data

Company Overview

Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

Benefits

Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave