Industry Solutions Architect

Updated on 12/8/2023

5,001-10,000 employees

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.

Data & Analytics

Company Stage

Series I

Total Funding

$4.7B

Founded

2013

Headquarters

San Francisco, California

Growth & Insights

Headcount

6 month growth

↑ 17%

1 year growth

↑ 41%

2 year growth

↑ 119%

Locations

United States

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

Data Science

Development Operations (DevOps)

Git

SQL

Python

CategoriesNew

AI & Machine Learning

DevOps & Infrastructure

Requirements

Three years or more experience building Data Science solutions in enterprise or consulting settings
Experience with development in Python and SQL on Apache Spark
Experience with program managing solutions and working with cross-functional stakeholders through the development process
Familiar with DevOps methodologies
Familiar with major cloud platforms
Familiar with GitHub
History of self-learning and working through complex solutions

Responsibilities

Establish and maintain processes, technical frameworks, and standards for the development of solution accelerators and other technical asset
Develop enablement content to help Field Engineering to position solutions with customers and highlight the most compelling features of the Databricks platform
Maintain existing solution assets, validating the code base runs and ensuring customers can effectively make use of them
Update existing solution assets to showcase new product features and facilitate cross-industry solution sharing
Work with Industry GTM Technical Directors to co-develop strategic, cross-industry solutions (eg. LLM-based) to drive greater adoption with customers
Work with partners and the field to ensure a pipeline of high quality solution accelerators aligned with company priorities and customer needs

Desired Qualifications

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)

SLSQ424R432

As a GTM Solution Architect, you will support the Industry Technical Directors Field Engineering, and Partners to develop high-quality, industry-aligned assets that help our customers envision solutions that transform their businesses using Machine Learning & AI. You will work closely with Industry GTM Technical Directors, Field Engineering, Professional Services, and Partners (eg. Consulting & System Integrators, ISVs, Cloud Services Providers) to develop, launch, and maintain these solutions. The job requires programming experience to help in the development and maintenance of the code base, and optimize existing technical frameworks used for the development and testing of these solutions. A key part of the role will be managing the technical publishing process. You will report to the Industry GTM Strategy & Programs Director.

The impact you will have:

Establish and maintain processes, technical frameworks, and standards for the development of solution accelerators and other technical asset
Develop enablement content to help Field Engineering to position solutions with customers and highlight the most compelling features of the Databricks platform
Maintain existing solution assets, validating the code base runs and ensuring customers can effectively make use of them
Update existing solution assets to showcase new product features and facilitate cross-industry solution sharing
Work with Industry GTM Technical Directors to co-develop strategic, cross-industry solutions (eg. LLM-based) to drive greater adoption with customers
Work with partners and the field to ensure a pipeline of high quality solution accelerators aligned with company priorities and customer needs

What we look for:

Three years or more experience building Data Science solutions in enterprise or consulting settings
Experience with development in Python and SQL on Apache Spark
Experience with program managing solutions and working with cross-functional stakeholders through the development process
Familiar with DevOps methodologies
Familiar with major cloud platforms
Familiar with GitHub
History of self-learning and working through complex solutions

Benefits

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Employee Assistance Program (EAP)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$162,600—$287,600 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. 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.