Databricks
Delivery Solutions Architect
Location:
Remote
Join Databricks as a Delivery Solutions Architect (DSA) and help customers unlock the full value of our Databricks Data Intelligence Platform. In this hybrid technical and commercial role you will partner with sales, field engineering, and customers to accelerate platform adoption, drive usage, and ensure successful implementation of Databricks workloads.
Job ID: CSQ426R259
The Impact You Will Have
Engage with Solutions Architects to understand the full use‑case demand plan for prioritized customers.
Lead the post‑technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
Serve as accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go‑live and healthy consumption of the workloads.
Be the first contact for any technical issues or questions related to the production/go‑live status of agreed‑upon use cases within an account, often serving multiple use cases within the largest and most complex organizations.
Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and elevate to expert‑level technical experts when needed to build the right tasks beyond your scope.
Create, own and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS engagement proposals.
Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs.
Develop an execution plan that covers all activities of all customer‑facing technical roles and teams across the following work streams:
Main use cases moving from ‘win’ to production
Enablement/user growth plan
Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
Executive and operational governance
Provide internal and external updates – KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression – to your Technical GM.
What We Look For
5+ years of experience accountable for technical project/program delivery within Data and AI, with the ability to contribute to technical debate and design choices with customers.
Programming experience in Python, SQL, or Scala.
Experience in a customer‑facing pre‑sales, technical architecture, customer success, or consulting role.
Understanding of solution architecture related to distributed data systems.
Ability to attribute business value and outcomes to specific project deliverables.
Technical program or project management, including account, stakeholder, and resource management accountability.
Experience resolving complex escalations with senior customer executives.
Experience conducting open‑ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programmes/projects.
Track record of over‑achievement against quota, goals, or similar objective targets.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
Can travel up to 30% when needed.
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role represents the expected base salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Based on various factors, Databricks anticipates utilizing the full width of the range.
Zone 1 Pay Range:
$161,300—$225,800 USD
Zone 2 Pay Range:
$161,300—$225,800 USD
Zone 3 Pay Range:
$161,300—$225,800 USD
Zone 4 Pay Range:
$161,300—$225,800 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.
Benefits We strive to provide comprehensive benefits and perks to meet the needs of all employees. For specific details on the benefits offered in your region, visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion We are committed to fostering a diverse and inclusive culture where everyone can excel. 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 at the Employer’s discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
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Remote
Join Databricks as a Delivery Solutions Architect (DSA) and help customers unlock the full value of our Databricks Data Intelligence Platform. In this hybrid technical and commercial role you will partner with sales, field engineering, and customers to accelerate platform adoption, drive usage, and ensure successful implementation of Databricks workloads.
Job ID: CSQ426R259
The Impact You Will Have
Engage with Solutions Architects to understand the full use‑case demand plan for prioritized customers.
Lead the post‑technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
Serve as accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go‑live and healthy consumption of the workloads.
Be the first contact for any technical issues or questions related to the production/go‑live status of agreed‑upon use cases within an account, often serving multiple use cases within the largest and most complex organizations.
Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and elevate to expert‑level technical experts when needed to build the right tasks beyond your scope.
Create, own and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS engagement proposals.
Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs.
Develop an execution plan that covers all activities of all customer‑facing technical roles and teams across the following work streams:
Main use cases moving from ‘win’ to production
Enablement/user growth plan
Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
Executive and operational governance
Provide internal and external updates – KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression – to your Technical GM.
What We Look For
5+ years of experience accountable for technical project/program delivery within Data and AI, with the ability to contribute to technical debate and design choices with customers.
Programming experience in Python, SQL, or Scala.
Experience in a customer‑facing pre‑sales, technical architecture, customer success, or consulting role.
Understanding of solution architecture related to distributed data systems.
Ability to attribute business value and outcomes to specific project deliverables.
Technical program or project management, including account, stakeholder, and resource management accountability.
Experience resolving complex escalations with senior customer executives.
Experience conducting open‑ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programmes/projects.
Track record of over‑achievement against quota, goals, or similar objective targets.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
Can travel up to 30% when needed.
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role represents the expected base salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Based on various factors, Databricks anticipates utilizing the full width of the range.
Zone 1 Pay Range:
$161,300—$225,800 USD
Zone 2 Pay Range:
$161,300—$225,800 USD
Zone 3 Pay Range:
$161,300—$225,800 USD
Zone 4 Pay Range:
$161,300—$225,800 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.
Benefits We strive to provide comprehensive benefits and perks to meet the needs of all employees. For specific details on the benefits offered in your region, visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion We are committed to fostering a diverse and inclusive culture where everyone can excel. 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 at the Employer’s discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr