Delivery Solutions Architect - HLS at DataBricks
New York, NY 10001
About the Job
CSQ425R47At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform
As a Delivery Solutions Architect (DSA), you will play an important role during this journey
You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers
You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.This is a hybrid technical and commercial role
It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon
This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products
This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation
You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have:Engage with Solutions Architects to understand the full use case demand plan for prioritised customersLead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accountsBe the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume DatabricksBe the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizationsLeverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertiseCreate, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposalsNavigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needsDevelop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:Main use cases moving from ‘win’ to productionEnablement / user growth planProduct 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 governanceProvide 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 GMWhat we look for:7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customersProgramming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roleUnderstanding of solution architecture related distributed data systemsUnderstanding of how to attribute business value and outcomes to specific project deliverablesTechnical program, or project management including account, stakeholder and resource management accountabilityExperience resolving complex and important escalation with senior customer executivesExperience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projectsTrack record of overachievement against quota, Goals or similar objective targetsBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experienceCan travel up to 30% when neededPay Range TransparencyDatabricks 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.Zone 1 Pay Range$139,800—$247,300 USDAbout DatabricksDatabricks 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.BenefitsAt 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 . Our Commitment to Diversity and InclusionAt 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.ComplianceIf 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.
As a Delivery Solutions Architect (DSA), you will play an important role during this journey
You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers
You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.This is a hybrid technical and commercial role
It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon
This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products
This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation
You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have:Engage with Solutions Architects to understand the full use case demand plan for prioritised customersLead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accountsBe the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume DatabricksBe the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizationsLeverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertiseCreate, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposalsNavigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needsDevelop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:Main use cases moving from ‘win’ to productionEnablement / user growth planProduct 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 governanceProvide 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 GMWhat we look for:7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customersProgramming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roleUnderstanding of solution architecture related distributed data systemsUnderstanding of how to attribute business value and outcomes to specific project deliverablesTechnical program, or project management including account, stakeholder and resource management accountabilityExperience resolving complex and important escalation with senior customer executivesExperience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projectsTrack record of overachievement against quota, Goals or similar objective targetsBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experienceCan travel up to 30% when neededPay Range TransparencyDatabricks 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.Zone 1 Pay Range$139,800—$247,300 USDAbout DatabricksDatabricks 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.BenefitsAt 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 . Our Commitment to Diversity and InclusionAt 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.ComplianceIf 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.
