Databricks
Delivery Solutions Architect - Healthcare & Life Sciences
Databricks, Trenton, New Jersey, us, 08628
Delivery Solutions Architect - Healthcare & Life Sciences
Join to apply for the Delivery Solutions Architect - Healthcare & Life Sciences 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 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, thereby maximizing the value they get from our platform and the return on investment.
This is a hybrid technical and commercial role. Commercially, you will drive growth in your assigned customers and use cases through leading stakeholders, building executive relationships, orchestrating specialized internal teams within Databricks, and creating and executing plans and strategies for Databricks colleagues to build upon. Technically, you are expected to become the post‑sale technical lead across all Databricks products and engage and communicate at all levels within an organization. You will report directly to a DSA manager within the Field Engineering organization.
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 the accountable technical leader assigned to 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 workloads the customer has chosen to use Databricks for
Act as the first contact for any technical issues or questions related to production/go‑live status of agreed‑upon use cases within an account, often servicing multiple use cases within the largest and most complex organizations
Leverage Shared Services, User Education, Onboarding/Technical Services, Support resources, and escalating to expert level technical experts to build the right tasks beyond your scope or expertise
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 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 to cover 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, where you 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 for 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 programs/projects
Track record of overachieving 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(s) for this role are listed below and represent the expected 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.
Zone 2 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 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 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.
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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 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, thereby maximizing the value they get from our platform and the return on investment.
This is a hybrid technical and commercial role. Commercially, you will drive growth in your assigned customers and use cases through leading stakeholders, building executive relationships, orchestrating specialized internal teams within Databricks, and creating and executing plans and strategies for Databricks colleagues to build upon. Technically, you are expected to become the post‑sale technical lead across all Databricks products and engage and communicate at all levels within an organization. You will report directly to a DSA manager within the Field Engineering organization.
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 the accountable technical leader assigned to 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 workloads the customer has chosen to use Databricks for
Act as the first contact for any technical issues or questions related to production/go‑live status of agreed‑upon use cases within an account, often servicing multiple use cases within the largest and most complex organizations
Leverage Shared Services, User Education, Onboarding/Technical Services, Support resources, and escalating to expert level technical experts to build the right tasks beyond your scope or expertise
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 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 to cover 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, where you 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 for 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 programs/projects
Track record of overachieving 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(s) for this role are listed below and represent the expected 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.
Zone 2 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 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 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.
#J-18808-Ljbffr