19 jobs found

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 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most 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, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls 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 Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades Develop an execution plan spanning all customer-facing technical roles and teams across 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 to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 Understanding of how to attribute business value and outcomes to specific project deliverable Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high-stakes 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 overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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 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, 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 anticipates utilizing 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. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

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 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most 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, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls 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 Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades Develop an execution plan spanning all customer-facing technical roles and teams across 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 to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 Understanding of how to attribute business value and outcomes to specific project deliverable Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high-stakes 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 overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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 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, 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 anticipates utilizing 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. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

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 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most 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, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls 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 Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades Develop an execution plan spanning all customer-facing technical roles and teams across 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 to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 Understanding of how to attribute business value and outcomes to specific project deliverable Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high-stakes 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 overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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 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, 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 anticipates utilizing 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. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

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 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most 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, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls 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 Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades Develop an execution plan spanning all customer-facing technical roles and teams across 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 to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 Understanding of how to attribute business value and outcomes to specific project deliverable Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high-stakes 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 overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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 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, 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 anticipates utilizing 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. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

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 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most 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, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls 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 Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades Develop an execution plan spanning all customer-facing technical roles and teams across 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 to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 Understanding of how to attribute business value and outcomes to specific project deliverable Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high-stakes 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 overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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 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, 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 anticipates utilizing 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. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

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 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most 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, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls 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 Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades Develop an execution plan spanning all customer-facing technical roles and teams across 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 to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 Understanding of how to attribute business value and outcomes to specific project deliverable Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high-stakes 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 overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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 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, 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 anticipates utilizing 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. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

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 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most 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, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls 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 Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades Develop an execution plan spanning all customer-facing technical roles and teams across 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 to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 Understanding of how to attribute business value and outcomes to specific project deliverable Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high-stakes 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 overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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 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, 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 anticipates utilizing 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. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

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 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most 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, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls 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 Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades Develop an execution plan spanning all customer-facing technical roles and teams across 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 to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 Understanding of how to attribute business value and outcomes to specific project deliverable Technical program or project management, including accountability for accounts, stakeholders, and resources Experience resolving complex, high-stakes 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 overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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 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, 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 anticipates utilizing 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. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. Our Snowflake data lake platform sits at the centre of that estate, and we are looking for a Data Engineering Lead to drive its implementation. This is a deeply hands-on role. You will spend most of your time building on Snowflake and establishing how data is tagged, catalogued, governed and quality-assured across the business, working alongside our architects and directing strategic delivery partners who build with you. Key Responsibilities: Snowflake Development: Spend the majority of your time hands-on in Snowflake, architecting and building the platform and its surrounding ecosystem, including ingestion, transformation, data models, curated data products, and warehouse, performance and cost design for high-volume reinsurance placement, exposure, claims and market data. Tagging & Cataloguing: Establish and maintain data tagging, classification and cataloguing, so that data across the platform is discoverable, well described and correctly labelled for sensitivity and business meaning. Data Governance: Own governance for the platform, covering ownership and stewardship, lineage, access policies, retention obligations and cross-border data residency, working with security, risk and the business. Data Quality: Define and implement data quality controls, automated testing, monitoring and reconciliation, and make quality visible and measurable to data consumers. Scale & Archival: Design the platform to handle growing data volumes predictably, defining partitioning and clustering, storage tiering, retention and archival strategy, and keeping performance and cost under control as the estate grows. Architecture Contribution: Contribute to the data architecture, working with the Solution Architect and Head of Architecture & Engineering to shape target-state designs and feed real-world constraints back into them. Vendor Leadership: Direct and quality-assure the work of strategic delivery partners, reviewing their designs and code and holding them to the agreed standards. Engineering Standards: Set how the team builds, covering CI/CD for data, automated testing, observability and infrastructure-as-code. Grow the Team: Mentor engineers, raise the technical bar, and help shape how the data engineering function scales. About You You are a hands-on data engineering leader who is comfortable owning delivery in a fast-moving, greenfield environment with a lean core team and strategic delivery partners. Ideally you will bring: Experience: 10 + years in data engineering, including experience leading the delivery of a significant data platform end to end. Snowflake Depth: Deep, current, hands-on Snowflake expertise, having both built and architected across the platform and its surrounding ecosystem. This includes warehouse sizing, performance and cost optimisation, RBAC and access design, object tagging and masking policies, ingestion (Snowpipe, Streams and Tasks), sharing and marketplace, AI and ML capabilities such as Cortex, and transformation and orchestration tooling such as dbt. Governance & Cataloguing: A strong track record establishing data governance in practice, covering tagging and classification, data catalogues, lineage, stewardship and access policies. Data Quality: Practical experience implementing data quality frameworks, automated testing and monitoring, and driving measurable improvement. Data Modelling: Deep expertise in data modelling and warehouse design, with sound judgement on schema design, performance and cost at high volume. Scale & Archival: Proven experience running data platforms at high volume, including partitioning and clustering strategies, storage tiering, and defining retention and archival approaches that satisfy long-term regulatory obligations without runaway cost. Technical Stack: Strong SQL and Python, with practical experience of pipeline orchestration, ELT tooling, CI/CD (Azure DevOps or GitHub Actions) and infrastructure-as-code (Terraform/Bicep) on Azure. Architecture & Compliance: Enough architectural depth to shape platform design and challenge it constructively, and experience building to security and compliance requirements in regulated financial services. Vendor Delivery: Experience leading or quality-assuring work delivered by vendors and partners, including the ability to challenge designs constructively and enforce standards without direct authority. AI Foundations: Hands-on experience with Snowflake Cortex AI, or building AI and analytics use cases on data you have modelled yourself, is a significant advantage. Familiarity with AI-assisted engineering tools such as Claude Code or Claude Cowork is a plus. Leadership & Communication: Ability to lead engineers, influence stakeholders and explain technical trade-offs clearly to both technical and business audiences. Compensation Range: $160,000 - $180,000 - $200,000 Bonus: 20% The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs. The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs. About Willis Re We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused. At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking. Willis Re will also leverage recognized technical expertise from WTW's Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW's Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk. Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at

RDQ427R534 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role We're looking for a Partner Engineer to lead the technical relationship between Databricks and our strategic AI partnerships - including Anthropic, OpenAI and Google Gemini. You'll own the joint roadmap with their product teams, drive the development of integrations that connect and extend both platforms, and get hands-on with new product features and tooling. You'll collaborate with partners to build POCs that become new products, demos, and hands-on labs - and ultimately the architectures our customers deploy. With direct visibility and engagement with our founders and executives, this high impact role sits in Partner Engineering and works closely with Product, Engineering, Strategic Partnerships and Global GTM teams. Impact you will have Serve as the primary technical point of contact across the AI labs, building relationships with senior product and engineering stakeholders to drive joint innovation. Work alongside our technical executives to shape the joint product roadmap by translating partner capabilities and integration needs into Databricks platform requirements Navigate complex relationships in order to align on joint product offerings that address the needs of Databricks, our partner organizations, and our customers. Design and build the integrations that connect and extend both platforms, serving as the hands-on technical expert and early validator of new capabilities. Build POCs and reference architectures that hand off cleanly to engineering teams to productize, or to customers to deploy. Work with our most strategic customers to align their AI architecture and roadmap needs with what Databricks and our partners are building. Develop and maintain technical field enablement content to equip internal & external field teams with the knowledge and tools to deliver joint architectures and articulate differentiated 'better together' value propositions. What we're looking for 10+ years in field engineering, consulting, platform architecture, or AI systems development, with the ability to master new technologies quickly while managing multiple partners. Depth in how AI systems are built and run in production, across model serving, inference, retrieval, and agent frameworks, and an understanding of how AI products are developed, delivered, and adopted. Hands-on engineering skills, with the ability to develop POCs, build demos, and debug integrations that hold up in front of partner engineering teams and customers. Experience with Python and REST APIs and SDKs. Established existing relationships within the product and engineering functions of major AI labs and cloud providers. Experience in strategic technical partnerships, navigating multi-company engineering initiatives, building consensus across organizations, and leading architectural discussions with clarity. Deep knowledge of the Databricks platform and the ability to design AI architectures that span it and a partner's products. Communication and influence skills, with the ability to present to engineering teams and executives, and to translate between Product, Engineering, and partner teams. Availability to travel globally to partner sites, conferences, and events as required. Preferred Prior experience in Partner Solutions Architect, Solutions Engineering, or Alliance Engineering roles at AI companies, cloud providers, global system integrators, or major enterprise software companies, with a track record of driving product-to-product integrations. Experience taking AI systems to production at enterprise scale, including evaluation, cost and performance tuning, and the security and governance requirements that gate deployment. Background working at or with a frontier lab or AI-native cloud provider, including an understanding of how they build, ship, and go to market. Track record of creating technical content that developers use, including reference architectures, deployment guides, blog posts, and conference presentations. Strong familiarity with modern development workflows and AI-assisted development tools such as Cursor, Claude Code, and Codex. 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, 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 anticipates utilizing 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 $150,200-$206,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

RDQ427R534 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role We're looking for a Partner Engineer to lead the technical relationship between Databricks and our strategic AI partnerships - including Anthropic, OpenAI and Google Gemini. You'll own the joint roadmap with their product teams, drive the development of integrations that connect and extend both platforms, and get hands-on with new product features and tooling. You'll collaborate with partners to build POCs that become new products, demos, and hands-on labs - and ultimately the architectures our customers deploy. With direct visibility and engagement with our founders and executives, this high impact role sits in Partner Engineering and works closely with Product, Engineering, Strategic Partnerships and Global GTM teams. Impact you will have Serve as the primary technical point of contact across the AI labs, building relationships with senior product and engineering stakeholders to drive joint innovation. Work alongside our technical executives to shape the joint product roadmap by translating partner capabilities and integration needs into Databricks platform requirements Navigate complex relationships in order to align on joint product offerings that address the needs of Databricks, our partner organizations, and our customers. Design and build the integrations that connect and extend both platforms, serving as the hands-on technical expert and early validator of new capabilities. Build POCs and reference architectures that hand off cleanly to engineering teams to productize, or to customers to deploy. Work with our most strategic customers to align their AI architecture and roadmap needs with what Databricks and our partners are building. Develop and maintain technical field enablement content to equip internal & external field teams with the knowledge and tools to deliver joint architectures and articulate differentiated 'better together' value propositions. What we're looking for 10+ years in field engineering, consulting, platform architecture, or AI systems development, with the ability to master new technologies quickly while managing multiple partners. Depth in how AI systems are built and run in production, across model serving, inference, retrieval, and agent frameworks, and an understanding of how AI products are developed, delivered, and adopted. Hands-on engineering skills, with the ability to develop POCs, build demos, and debug integrations that hold up in front of partner engineering teams and customers. Experience with Python and REST APIs and SDKs. Established existing relationships within the product and engineering functions of major AI labs and cloud providers. Experience in strategic technical partnerships, navigating multi-company engineering initiatives, building consensus across organizations, and leading architectural discussions with clarity. Deep knowledge of the Databricks platform and the ability to design AI architectures that span it and a partner's products. Communication and influence skills, with the ability to present to engineering teams and executives, and to translate between Product, Engineering, and partner teams. Availability to travel globally to partner sites, conferences, and events as required. Preferred Prior experience in Partner Solutions Architect, Solutions Engineering, or Alliance Engineering roles at AI companies, cloud providers, global system integrators, or major enterprise software companies, with a track record of driving product-to-product integrations. Experience taking AI systems to production at enterprise scale, including evaluation, cost and performance tuning, and the security and governance requirements that gate deployment. Background working at or with a frontier lab or AI-native cloud provider, including an understanding of how they build, ship, and go to market. Track record of creating technical content that developers use, including reference architectures, deployment guides, blog posts, and conference presentations. Strong familiarity with modern development workflows and AI-assisted development tools such as Cursor, Claude Code, and Codex. 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, 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 anticipates utilizing 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 $150,200-$206,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. 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 click here. 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.

Job Description Job Description Important Notice for Applicants: At Bixal, we want to ensure a transparent and secure application process for all candidates. Official communication will come from an email address ending or from Messages from other sources may be fraudulent, and you should exercise care to avoid any links or attachments included. Bixal will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Need Assistance or a Reasonable Accommodation? If you need assistance or a reasonable accommodation to complete your application, we're here to help. Please reach out to us at and let us know how we can support you. You do not need to share personal details or disclose the nature of your request. You can expect a response from a team member within 24 hours during the regular work week and on the next operating day during the weekend or holidays. Why Bixal? Bixal is a consulting company headquartered in Fairfax, VA, working alongside governments and organizations to help them deliver better services and experiences to the communities they serve. Using evidence-based knowledge and technology, Bixal empowers clients to deliver on their missions more effectively by fostering a culture of learning and continuous improvement. Our values: People-First : Emphasizing the importance of people in all aspects of work. Collaboration and Transparency : Valuing teamwork and open communication. Growth Mindset : Encouraging innovation and continuous improvement. Creating Lasting Impact : Focusing on meaningful outcomes and positive change. About the role: Bixal is seeking an experienced Technical Lead to guide the design, development, and delivery of an enterprise-scale, accessible digital platform for a federal government client. This role combines hands-on technical leadership with day-to-day client engagement, driving architecture decisions across WordPress, Drupal, and Salesforce, and API implementations that support these and other business functions, while mentoring a cross-functional delivery team. You will work closely with the Project Manager, product owners, designers, and fellow engineers to mature and modernize the platform, ensuring every release meets rigorous accessibility, security, and performance standards. In close collaboration with the Project Manager, you will lead and engage the client - bringing technical judgement, translating complex technical tradeoffs into clear, confident conversations that build trust and keep delivery on track. Candidates should be prepared to discuss or demonstrate relevant project experience during the interview process. You will have the opportunity to join a project that directly supports Bixal's mission of improving how government serves people. Location This role can work remotely from anywhere in the USA. You must be legally authorized to work in the US. Bixal does not provide visa sponsorship. Compensation: This is a full-time role with a salary range of $135,000 - $155,000. In the spirit of transparency, most offers tend to land near the midpoint of the range. We make compensation decisions thoughtfully, considering your experience, the skills you bring, and our commitment to internal equity. Fairness and transparency are core to how we operate. Responsibilities: Technical Leadership Lead architecture and implementation decisions across WordPress, Drupal, and Salesforce, along with API design and integration work connecting these systems. Guide the team in maturing legacy and evolving platforms into modern, enterprise-grade, scalable systems. Set and enforce coding standards, review architecture and code, and drive continuous improvement of technical practices. Ensure development and design work meets accessibility standards (Section 508, WCAG 2.1) across the platform. Partner with DevSecOps and infrastructure teams to maintain secure, reliable, well-documented systems. Client & Stakeholder Communication Supporting the Project Manager as the technical point of contact, communicating complex concepts clearly to both technical and non-technical audiences. Build and maintain trusted, collaborative relationships with client stakeholders, project sponsors, and cross-functional partners. Lead release planning and prioritization by listening to stakeholder input, bringing a clear vision for the solution, and guiding the team toward scope, sequence, and tradeoffs that move the platform forward. Represent the team in client meetings, technical reviews, and planning sessions with polish and confidence, proactively surfacing risks, tradeoffs, and recommendations to keep the client informed and engaged. Demonstrated ability to build genuine rapport with clients and stakeholders, remaining calm, positive, and collaborative under pressure. Team Leadership & Mentorship Provide day-to-day technical leadership and mentorship to a cross-functional team of engineers and designers. Foster a collaborative, high-performing team culture grounded in accountability and continuous learning. Guide the team through iterative delivery. Delivery & Quality Develop the technical roadmap collaboratively with the Project Manager, and contribute to its presentation in client and planning sessions. Drive quality through code reviews, automated testing, and adherence to secure development practices. Identify and resolve technical risks, bottlenecks, and technical debt before they impact delivery. Support other technical and delivery activities as needed to keep the platform on track. Qualifications: Bachelor's degree plus at least five (5) years of relevant professional experience in software development or technical leadership; or an equivalent combination of education and experience. At least five (5) years leading or performing on contracts/projects of similar size, scope, and complexity. Experience migrating or consolidating content management platforms, including hands-on work with WordPress and Drupal - theming, custom module/plugin development, and content architecture. Proven experience designing, building, and integrating RESTful APIs across multiple systems and platforms. Experience evaluating and integrating third-party plugins, extensions, and commercial solutions to extend platform capabilities, with sound judgement about when an existing tool meets the need versus when custom development is warranted Demonstrated experience working within enterprise environments and maturing or modernizing existing platforms. Strong understanding of accessible development and design practices (Section 508, WCAG 2.1). Proven track record leading technical teams, with strong mentorship and team-building skills. Polished, confident communication skills, with demonstrated experience presenting to and building relationships with clients and executive stakeholders. Experience working in Agile/Scrum delivery environments. This position requires the ability to obtain and maintain a favorable Public Trust determination in support of a federal government contract. Nice to Have Skills and Experience: Experience developing for federal government clients or in a federal consulting environment. Experience with Salesforce, including configuration, customization, and integration with external systems. Cloud platform (AWS, Azure, Cloud.gov) certifications. Experience with DevSecOps practices in compliance-driven environments. Knowledge of FISMA, FedRAMP, or other federal security frameworks. Experience with content management system migrations or platform modernization efforts. How We Support Our Team: Flex hours 401K with matching incentive Parental Leave Medical/dental/vision benefits Flex Spending Account Company provided short-term disability and life insurance Commuter benefits Paid Time Off (PTO) 11 Paid holidays Our company is committed to providing equal employment opportunities for all individuals and complies with all applicable federal, state, and local anti-discrimination laws. Employment decisions are based on merit, qualifications, and business needs.

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. The Solutions Consulting organization at Appian sits at the vital center of our global commercial engine. We bridge the gap between sophisticated enterprise business needs and cutting-edge platform capabilities to secure the technical win. Our mission is to prove the undeniable value of Appian's platform within the AI-Powered Process Automation market, driving customer acquisition and fueling corporate growth through our transformative SC 2.0 operating model. Read More About SC 2.0 Here You can listen to our Global SSC leader, Gregg Aldana discuss SC 2.0 here. As an Associate Solutions Consultant, you will launch your career by learning Appian's platform, customer engagement approach, and technical sales process. This role is a premier gateway into tech pre-sales, offering a structured path to mastering technical storytelling and value-based discovery. You will work alongside some of the smartest, most creative people in the industry, learning how to move enterprise customers beyond feature evaluation and toward true strategic transformation. T his role is based at our headquartered in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. What You'll Do Learn Appian's platform architecture, including AI capabilities, Data Fabric, Process HQ, and core solutioning patterns. Support custom demonstrations, customer workshops, and technical discovery sessions under the guidance of experienced Solutions Consultants. Assist with technical presentations, prototype preparation, and customer-facing solution narratives. Partner with Solutions Consultants and Account Executives to uncover business objectives and map requirements to measurable customer outcomes. Participate in internal enablement, demo practice, and team story debriefs to rapidly build enterprise software positioning skills. Required Qualifications Education: Currently pursuing a Bachelor's degree or Master's degree in Information Systems, Data Science, Computer Engineering, Computer Science, or a related STEM/business field with a strong academic record. Experience: Prior experience in a professional, academic, or technical setting (includes internships, research, capstones, or consistent part-time/full-time employment). Communication: Effective written and verbal communication skills with the ability to collaborate in a professional environment and to present technical ideas clearly to both business and technical users. Technical Skills: Foundational exposure to modern environments or programming languages (e.g., Java, JavaScript, Python, SQL, HTML, APIs, or database concepts). Willingness to travel for customer engagements. Preferred Qualifications Proven fluency in AI and LLMs, encompassing both the strategic development of AI-powered platform capabilities and the hands-on application of AI tools to accelerate daily workflows. Demonstrated leadership experience (e.g. executive roles in student organizations, club leadership, or captaincy of team-based activities). High curiosity, coachability, and a strong desire to build a career in technical pre-sales, including a willingness to travel for customer engagements. Experience building custom demos, software prototypes, or contributing to technical RFPs/RFIs. Basic understanding of application architecture, cloud infrastructure, and web/application servers. Commercial acumen and an interest in partnering with sales teams on account planning and pipeline progression. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. At this time, Appian will not sponsor a new applicant for employment authorization for this position. Thank you for your interest in joining our team! Please note that we will officially begin reviewing applications and scheduling interviews starting August 2026 . We appreciate your patience and look forward to connecting with you then. At Appian, we embrace AI as part of how we work and innovate. While candidates are encouraged to use AI for preparation and learning, we restrict AI usage for live interviews and assessments unless otherwise specified. In some cases, AI use may be part of the assessment, and expectations will be communicated in advance. The base salary range per provided represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $95,000-$95,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description Shape the future of Search. About BrightEdge BrightEdge is a leading enterprise SEO and content performance platform that helps companies understand how their digital content drives real business results. Founded in 2007, we're trusted by thousands of organizations across more than 80 countries, including brands like Microsoft and Visa. Our platform combines powerful data and AI-driven insights allowing our customers to plan, optimize, and measure campaigns based on real-time content performance. What sets BrightEdge apart are our people. With 400+ global employees across 7 offices, we foster a collaborative, curious, and supportive environment where smart ideas are encouraged and impact is visible. If you enjoy solving meaningful problems, learning new things, and working alongside talented teammates while helping shape the future of digital marketing, BrightEdge is a great place to build your career. About the Role BrightEdge is growing, and we are looking for a sharp, problem-solving Senior Analyst of Revenue Operations who knows "what good looks like" and is eager to help optimize and scale our go-to-market engine. This role is ideal for someone with a background in management consulting, strategy & operations, or business operations who wants to bring their analytical rigor, process-mapping skills, and executive communication to a high-growth SaaS organization. Reporting directly to the Director of Revenue Operations, you will have a front-row seat to revenue strategy, partnering closely with Sales Leadership and C-suite executives. As a core individual contributor, you will evaluate current operational workflows, pinpoint bottlenecks, and drive tangible improvements-with a particular focus on enhancing and redesigning our Salesforce (SFDC) ecosystem, streamlining Deal Desk governance, and establishing scalable sales processes. Over time, this role offers a clear trajectory for career growth and leadership as the RevOps function expands. How You'll Spend Your Time Executive Presentation & Stakeholder Partnership: Partner directly with Sales and Customer Success Leadership and executive stakeholders, translating complex operational data and workflow challenges into clear recommendations and actionable roadmaps. Proactively surface your findings and help drive revenue growth. Bookings & Retention Forecasting: Own bookings, upsell and renewal (CRR) forecasting end to end - rebuilding the underlying models and delivering the forecast as a standing, systematized report on a published cadence that Finance and executive leadership rely on directly. Process Discovery & Optimization: Apply a structured, consulting-style approach to audit current-state sales workflows, identify inefficiencies, and design future-state operational frameworks that improve sales velocity and consistency. Salesforce Enhancement & Redesign: Partner closely with our Salesforce administrator to drive improvements to our Service Cloud environment - defining and prioritizing changes to data architecture, automated workflows, and the reports and dashboards leadership depends on, then carrying them through to delivery and adoption. Deal Desk Workflows & Governance: Support and optimize day-to-day Deal Desk operations in tandem with the Deal Desk Manager, refining approval matrices, standardizing discount guidelines, and accelerating the quote-to-close cycle. End-to-End Project Management: Own operational projects from scoping and stakeholder alignment through implementation, documentation, and change management enablement. Month End Close: Owns the operational reporting process and documents and works with finance and compensation teams to execute month end accurately and on time. We're Excited About You If You Have 2+ years of experience in management consulting, strategy & operations, or business/revenue/sales operations, with a demonstrated track record of analyzing business processes and delivering measurable improvements. Proven ability to break down complex business problems, map operational workflows, and design pragmatic, scalable solutions. Exceptional written, verbal, and visual presentation skills; comfortable presenting findings, frameworks, and recommendations to senior leaders. Strong quantitative analysis skills across Excel/Google Sheets, Salesforce reports and dashboards, AI tools, and/or modern BI platforms - including the ability to build and maintain working forecast models for renewals, upsell and bookings. Strong Salesforce Acumen: Practical experience or strong foundational knowledge of Salesforce administration, objects, fields, and automation. Salesforce certifications or experience with SFDC redesigns are a strong plus. Project Management Rigor: Strong organizational habits with the ability to manage multiple workstreams, drive cross-functional alignment, and see initiatives through to completion. Industry Background: Prior experience in or exposure to SaaS/technology is a plus but not required for candidates with strong consulting fundamentals. Bachelor's degree is required in Business, Finance, Economics, Engineering, Information Systems, or any related field. Ability to work on-site at least 4 days a week in our Chicago, IL office. Benefits! Motivating, high-impact work that builds your career Medical, dental, and vision insurance with multiple package options 15-23 days PTO depending on tenure plus 10 paid holidays Pet insurance to keep your fur family happy and healthy Pre-tax commuter benefit plan and company contribution to help reduce parking/public transit costs No or low cost therapy and professional coaching sessions through Spring Health 4-6 weeks fully paid parental leave Quarterly office outings: Baseball games, boats, and more! Actual compensation will depend on your skills, experience, and other job-related factors. How we work BrightEdge is an equal opportunity employer and is committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected status. If you're excited about this role but don't meet every qualification, we encourage you to apply. Imposter syndrome can hold great candidates back, and we believe potential and willingness to learn matter just as much as checking every box. We value diverse perspectives, experiences, and ways of thinking, and we're committed to building a team where everyone feels they belong and can do their best work.