Databricks
Delivery Solutions Architect - Healthcare & Life Sciences
Databricks, Baltimore, Maryland, United States, 21276
Delivery Solutions Architect - Healthcare & Life Sciences
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 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 for our most complex customers who need guidance to accelerate usage on Databricks workloads they have already selected, helping them maximize the value they get from 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, orchestrating focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is also a technical role with expectations to become the post?sale technical lead across all Databricks products. You will engage and communicate at all levels with an organization and 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 post?technical win account strategy and execution plan for the majority of Databricks use cases within strategic accounts. Be the 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 where the customer has decided to consume Databricks. Be the first contact for any technical issues or questions related to production/go?live status of agreed 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, and support resources, along with 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 resources 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 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 usage status 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 domain, with 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. Understanding of how 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 and important escalation 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 overachievement against quota, goals or similar objective targets. Bachelors 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 is listed below and represents the expected salary range for non?commissionable roles or on?target earnings for commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including skills, depth of experience, certifications, training and specific work location. For more information regarding your location, see our page here. 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, Cond 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 employees. For specific details on the benefits offered in your region, visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We ensure our hiring practices are inclusive and meet equal employment opportunity standards. Individuals 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 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. Seniority level
Mid?Senior level Employment type
Full?time Job function
Engineering and Information Technology Industries
Software Development #J-18808-Ljbffr
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 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 for our most complex customers who need guidance to accelerate usage on Databricks workloads they have already selected, helping them maximize the value they get from 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, orchestrating focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is also a technical role with expectations to become the post?sale technical lead across all Databricks products. You will engage and communicate at all levels with an organization and 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 post?technical win account strategy and execution plan for the majority of Databricks use cases within strategic accounts. Be the 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 where the customer has decided to consume Databricks. Be the first contact for any technical issues or questions related to production/go?live status of agreed 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, and support resources, along with 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 resources 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 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 usage status 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 domain, with 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. Understanding of how 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 and important escalation 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 overachievement against quota, goals or similar objective targets. Bachelors 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 is listed below and represents the expected salary range for non?commissionable roles or on?target earnings for commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including skills, depth of experience, certifications, training and specific work location. For more information regarding your location, see our page here. 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, Cond 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 employees. For specific details on the benefits offered in your region, visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We ensure our hiring practices are inclusive and meet equal employment opportunity standards. Individuals 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 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. Seniority level
Mid?Senior level Employment type
Full?time Job function
Engineering and Information Technology Industries
Software Development #J-18808-Ljbffr