Databricks
Join to apply for the
Delivery Solutions Architect
role at
Databricks
(Job ID: CSQ426R259).
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems using the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with our sales and field engineering teams to accelerate adoption and growth of the platform, ensuring customer success through focused technical accountability for our most complex clients.
Impact You Will Have
Engage with Solutions Architects to understand full use‑case demand plans for prioritized customers
Lead the post‑technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
Serve as the accountable technical lead for specific use cases and customers across multiple selling teams, creating certainty from uncertainty and driving onboarding, enablement, success, go‑live and healthy consumption of workloads
Be the first contact for technical issues or questions related to production/go‑live status of agreed‑upon use cases within an account
Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert‑level technical experts as needed
Create, own and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) on delivery of 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 all customer‑facing technical roles and teams, including:
Main use cases moving from ‘win’ to production
Enablement/user growth plan
Product adoption strategy for 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, customer health, investment status, risks, product adoption, and use‑case progression—to your Technical GM
What We Look For
5+ years of experience leading technical project/program delivery in Data & AI, with the ability to influence design choices with customers
Programming experience in Python, SQL or Scala
Customer‑facing pre‑sales, technical architecture, customer success or consulting experience
Understanding of solution architecture related to distributed data systems
Ability to attribute business value and outcomes to specific project deliverables
Experience in technical program or project management, including account, stakeholder and resource management
Experience resolving complex escalations with senior customer executives
Experience conducting open‑ended discovery workshops, creating strategic roadmaps, doing business analysis and managing delivery of complex programs/projects
Track record of over‑achievement against quota, goals or similar targets
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Travel up to 30% when needed
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay ranges below represent the expected base salary for non‑commissionable roles. Actual compensation may vary based on a range of factors.
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 creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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.
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. We consider candidates 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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology, Software Development
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Delivery Solutions Architect
role at
Databricks
(Job ID: CSQ426R259).
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems using the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with our sales and field engineering teams to accelerate adoption and growth of the platform, ensuring customer success through focused technical accountability for our most complex clients.
Impact You Will Have
Engage with Solutions Architects to understand full use‑case demand plans for prioritized customers
Lead the post‑technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
Serve as the accountable technical lead for specific use cases and customers across multiple selling teams, creating certainty from uncertainty and driving onboarding, enablement, success, go‑live and healthy consumption of workloads
Be the first contact for technical issues or questions related to production/go‑live status of agreed‑upon use cases within an account
Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert‑level technical experts as needed
Create, own and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) on delivery of 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 all customer‑facing technical roles and teams, including:
Main use cases moving from ‘win’ to production
Enablement/user growth plan
Product adoption strategy for 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, customer health, investment status, risks, product adoption, and use‑case progression—to your Technical GM
What We Look For
5+ years of experience leading technical project/program delivery in Data & AI, with the ability to influence design choices with customers
Programming experience in Python, SQL or Scala
Customer‑facing pre‑sales, technical architecture, customer success or consulting experience
Understanding of solution architecture related to distributed data systems
Ability to attribute business value and outcomes to specific project deliverables
Experience in technical program or project management, including account, stakeholder and resource management
Experience resolving complex escalations with senior customer executives
Experience conducting open‑ended discovery workshops, creating strategic roadmaps, doing business analysis and managing delivery of complex programs/projects
Track record of over‑achievement against quota, goals or similar targets
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Travel up to 30% when needed
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay ranges below represent the expected base salary for non‑commissionable roles. Actual compensation may vary based on a range of factors.
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 creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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.
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. We consider candidates 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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology, Software Development
#J-18808-Ljbffr