Databricks
Delivery Solutions Architect (Onsite in San Diego, CA)
Databricks, San Diego, California, United States, 92189
Overview
Delivery Solutions Architect (Onsite in San Diego, CA) Location: San Diego, CA. This role requires candidates to work onsite in San Diego, CA. At Databricks, we empower 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 sales and field engineering to accelerate adoption and growth of the Databricks platform in your customers and help ensure customer success by guiding complex customers to maximize value and ROI. This is a hybrid technical and commercial role. You will drive growth in assigned customers and use cases by leading stakeholders, building executive relationships, coordinating specialized teams, and crafting plans for Databricks colleagues. You will also be the post-sale technical lead across Databricks products, engaging with the organization at all levels. You will report to a DSA Manager within the Field Engineering organization. Responsibilities
Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go-live and healthy consumption Be the first contact for technical issues or questions related to production/go live status of agreed upon use cases Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources; escalate to expert level technical experts as needed Create and execute a point-of-view to accelerate key use cases into production, coordinating with Professional Services on delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product innovations, previews and upgrade needs Develop an execution plan covering all activities of all customer-facing technical roles and teams across work streams: Main use cases moving from win to production Enablement / user growth plan Product adoption strategy and activities Organic needs for current investment (cost control, tuning, optimization) Executive and operational governance Provide internal and external updates on KPI status, usage, customer health, investment status, risks, product adoption and use case progression to the Technical GM What We Look For
5+ years of experience accountable for technical project/program delivery in Data and AI; able to contribute to technical debates 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 distributed data systems Ability to attribute business value and outcomes to project deliverables Technical program or project management including account, stakeholder and resource management Experience resolving escalations with senior customer executives Experience conducting discovery workshops, creating strategic roadmaps, business analysis and managing delivery of complex programs/projects Track record of overachievement against quota or similar targets Bachelor\'s degree in Computer Science, Information Systems, Engineering, or equivalent experience 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 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 that are unique to each candidate. The total compensation package may include annual bonus, equity, and the listed benefits. For location-specific range details, visit our page here. Zone 1 Pay Range: $161,280—$225,792 USD Zone 2 Pay Range: $161,280—$225,792 USD Zone 3 Pay Range: $161,280—$225,792 USD Zone 4 Pay Range: $161,280—$225,792 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform. Databricks is headquartered in San Francisco, with offices worldwide, and was founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits
Databricks provides comprehensive benefits and perks. For specific details in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture. Our hiring practices are inclusive and comply with equal employment opportunity standards. We consider applicants regardless of 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, or 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.
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Delivery Solutions Architect (Onsite in San Diego, CA) Location: San Diego, CA. This role requires candidates to work onsite in San Diego, CA. At Databricks, we empower 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 sales and field engineering to accelerate adoption and growth of the Databricks platform in your customers and help ensure customer success by guiding complex customers to maximize value and ROI. This is a hybrid technical and commercial role. You will drive growth in assigned customers and use cases by leading stakeholders, building executive relationships, coordinating specialized teams, and crafting plans for Databricks colleagues. You will also be the post-sale technical lead across Databricks products, engaging with the organization at all levels. You will report to a DSA Manager within the Field Engineering organization. Responsibilities
Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go-live and healthy consumption Be the first contact for technical issues or questions related to production/go live status of agreed upon use cases Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources; escalate to expert level technical experts as needed Create and execute a point-of-view to accelerate key use cases into production, coordinating with Professional Services on delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product innovations, previews and upgrade needs Develop an execution plan covering all activities of all customer-facing technical roles and teams across work streams: Main use cases moving from win to production Enablement / user growth plan Product adoption strategy and activities Organic needs for current investment (cost control, tuning, optimization) Executive and operational governance Provide internal and external updates on KPI status, usage, customer health, investment status, risks, product adoption and use case progression to the Technical GM What We Look For
5+ years of experience accountable for technical project/program delivery in Data and AI; able to contribute to technical debates 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 distributed data systems Ability to attribute business value and outcomes to project deliverables Technical program or project management including account, stakeholder and resource management Experience resolving escalations with senior customer executives Experience conducting discovery workshops, creating strategic roadmaps, business analysis and managing delivery of complex programs/projects Track record of overachievement against quota or similar targets Bachelor\'s degree in Computer Science, Information Systems, Engineering, or equivalent experience 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 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 that are unique to each candidate. The total compensation package may include annual bonus, equity, and the listed benefits. For location-specific range details, visit our page here. Zone 1 Pay Range: $161,280—$225,792 USD Zone 2 Pay Range: $161,280—$225,792 USD Zone 3 Pay Range: $161,280—$225,792 USD Zone 4 Pay Range: $161,280—$225,792 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform. Databricks is headquartered in San Francisco, with offices worldwide, and was founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits
Databricks provides comprehensive benefits and perks. For specific details in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture. Our hiring practices are inclusive and comply with equal employment opportunity standards. We consider applicants regardless of 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, or 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.
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