Databricks
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Delivery Solutions Architect
role at
Databricks .
At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks platform, ensuring customer success by guiding complex customers to maximize the value they get from our platform.
Responsibilities
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.
Act as the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go‑live, and healthy consumption of workloads.
Serve as 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 across multiple use cases.
Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert‑level technical experts when needed.
Create, own, and execute a point‑of‑view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on PS engagement proposals.
Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs.
Develop an execution plan covering all activities of customer‑facing technical roles and teams, including:
Main use cases moving from ‘win’ to production.
Enablement and user growth plan.
Product adoption strategy to increase adoption of the 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 usage and customer health, covering investment status, risks, product adoption, and use‑case progression – to your Technical GM.
Qualifications
5+ years of experience delivering technical project/programs within Data and AI, contributing 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 for distributed data systems.
Ability to attribute business value and outcomes to specific project deliverables.
Technical program or project management experience, including account, stakeholder, and resource management.
Experience resolving complex escalations with senior customer executives.
Experience conducting open‑ended discovery workshops, creating strategic roadmaps, business analysis, and delivering complex programmes/projects.
Track record of overachievement against quota or similar objectives.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent through work experience.
Can travel up to 30% when needed.
Remote LI#Remote
Pay 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 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices worldwide.
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
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. All applicants are considered without regard to protected characteristics.
Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within the Employer’s discretion whether to apply for a U.S. government license. The Employer may decline to proceed with an applicant on this basis alone.
Job Details
Seniority level : Mid‑Senior level
Employment type : Full‑time
Job function : Engineering and Information Technology
Industry : Software Development
#J-18808-Ljbffr
Delivery Solutions Architect
role at
Databricks .
At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks platform, ensuring customer success by guiding complex customers to maximize the value they get from our platform.
Responsibilities
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.
Act as the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go‑live, and healthy consumption of workloads.
Serve as 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 across multiple use cases.
Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert‑level technical experts when needed.
Create, own, and execute a point‑of‑view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on PS engagement proposals.
Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs.
Develop an execution plan covering all activities of customer‑facing technical roles and teams, including:
Main use cases moving from ‘win’ to production.
Enablement and user growth plan.
Product adoption strategy to increase adoption of the 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 usage and customer health, covering investment status, risks, product adoption, and use‑case progression – to your Technical GM.
Qualifications
5+ years of experience delivering technical project/programs within Data and AI, contributing 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 for distributed data systems.
Ability to attribute business value and outcomes to specific project deliverables.
Technical program or project management experience, including account, stakeholder, and resource management.
Experience resolving complex escalations with senior customer executives.
Experience conducting open‑ended discovery workshops, creating strategic roadmaps, business analysis, and delivering complex programmes/projects.
Track record of overachievement against quota or similar objectives.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent through work experience.
Can travel up to 30% when needed.
Remote LI#Remote
Pay 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 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices worldwide.
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
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. All applicants are considered without regard to protected characteristics.
Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within the Employer’s discretion whether to apply for a U.S. government license. The Employer may decline to proceed with an applicant on this basis alone.
Job Details
Seniority level : Mid‑Senior level
Employment type : Full‑time
Job function : Engineering and Information Technology
Industry : Software Development
#J-18808-Ljbffr