CSQ227R87 Candidates located in Central and Eastern Time Zone can also be considered for this position As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: - You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases - Work with engagement managers to scope variety of professional services work with input from the customer - Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications - Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Provide an escalated level of support for customer operational issues. - You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: - 9+ years experience in data engineering, data platforms & analytics - Comfortable writing code in either Python or Scala - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps - Capable of design and deployment of highly performant end-to-end data architectures - Experience with technical project delivery - managing scope and timelines. - Documentation and white-boarding skills. - Experience working with clients and managing conflicts. - Experience in building scalable streaming and batch solutions using cloud-native components - Travel to customers up to 20% of the time - Nice to have: Databricks Certification 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 base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated 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 $180,656—$248,360 USD Zone 2 Pay Range $180,656—$248,360 USD Zone 3 Pay Range $180,656—$248,360 USD Zone 4 Pay Range $180,656—$248,360 USD 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 2 Pay Range $180,656—$248,360 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ227R88 == To comply with U.S. federal government requirements, U.S. Citizenship is required for this position == As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: - You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases - Work with engagement managers to scope variety of professional services work with input from the customer - Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications - Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Provide an escalated level of support for customer operational issues. - You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: - 6+ years experience in data engineering, data platforms & analytics - Comfortable writing code in either Python or Scala - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps - Design and deployment of performant end-to-end data architectures - Experience with technical project delivery - managing scope and timelines. - Documentation and white-boarding skills. - Experience working with clients and managing conflicts. - Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. - Travel to customers 20% of the time - Databricks Certification 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 base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated 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 $180,656—$248,360 USD Zone 2 Pay Range $180,656—$248,360 USD Zone 3 Pay Range $180,656—$248,360 USD Zone 4 Pay Range $180,656—$248,360 USD 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 2 Pay Range $180,656—$248,360 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ227R88 == To comply with U.S. federal government requirements, U.S. Citizenship is required for this position == As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: - You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases - Work with engagement managers to scope variety of professional services work with input from the customer - Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications - Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Provide an escalated level of support for customer operational issues. - You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: - 6+ years experience in data engineering, data platforms & analytics - Comfortable writing code in either Python or Scala - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps - Design and deployment of performant end-to-end data architectures - Experience with technical project delivery - managing scope and timelines. - Documentation and white-boarding skills. - Experience working with clients and managing conflicts. - Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. - Travel to customers 20% of the time - Databricks Certification 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 base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated 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 $180,656—$248,360 USD Zone 2 Pay Range $180,656—$248,360 USD Zone 3 Pay Range $180,656—$248,360 USD Zone 4 Pay Range $180,656—$248,360 USD 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 2 Pay Range $180,656—$248,360 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As the Head of Solutions Engineering, you will be responsible for managing all facets of the assigned Solutions Engineering teams. The Head of Solutions Engineering at Gong will oversee Gong’s team of Solutions Engineers and Solutions Engineering Directors / Managers. You will be responsible for defining, developing, managing and implementing all strategic pre-sales activities and outcomes that align with Gong’s vision, mission and strategic plans on a company-wide basis. RESPONSIBILITIES - Scale and run a Solutions Engineering organization leveraging your past experiences - Global Resource Allocation and Standardize global playbooks while allowing for regional nuance - Create processes, reports, and operating rhythm to help your team and stakeholders - Build the appropriate organizational structures to balance the need for specialization with revenue coverage - Invest in deep, peer-level relationships with Product and Engineering VPs, fostering a culture of mutual respect where SE technical expertise is viewed as a force-multiplier for product success. - Improve processes and eliminate bottlenecks by working cross-functionally in order to get deals across the line - Build appropriate processes, measurement and infrastructure needed to maximize SE productivity and impact - Build strong cross-functional relationships with Sales, Product Marketing, Product Management and Engineering and exercise sound judgement to achieve business objectives - Build technical thought leadership on architecture, processes and operationalization QUALIFICATIONS - 10+ years of relevant solutions engineering experience - 5+ years of experience building and managing high performing solutions engineering teams - 4+ years of experience leading Solutions Engineering Senior Directors/Directors/Managers - Experience leading organizations of at least 50–100+ headcount through IPO or significant hyper-growth phases - Know how to build trust amongst your team members and cross-functional stakeholders - Proven ability to influence cross-functional peers (Product/Eng) without formal authority, specifically in a high-growth SaaS environment. - High level of business acumen and understanding of how revenue leaders think PERKS & BENEFITS - We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. - Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. - Mental Health benefits with covered therapy and coaching. - 401(k) program to help you invest in your future. - Education & learning stipend for personal growth and development. - Flexible vacation time to promote a healthy work-life blend. - Paid parental leave to support you and your family. - Company-wide recharge days each quarter. - Work from home stipend to help you succeed in a remote environment. The annual OTE for this position is $252,000 - $265,000 USD. Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law. To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.