Databricks
Senior Solutions Architect - Strategic Accounts, Digital Native Business
Databricks, Mountain View, California, us, 94039
Overview
Senior Solutions Architect - Strategic Accounts, Digital Native Business at Databricks. As a Senior Solutions Architect on the Digital Native Strategic team, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. Databricks' digital native customers are digital-first, cloud-native organizations that rely heavily on data and AI to drive their businesses at global scale. Reporting to the Field Engineering Manager, you will collaborate with strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. Responsibilities
Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help customers solve business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. Validate integrations with cloud services, homegrown tools, and other third-party applications. Collaborate with fellow Solutions Architects to support each other and our users. Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across the developer community. What We Look For
7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in, and debugging, Python and SQL Experience with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka) Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, PyTorch, TensorFlow) Willingness to travel to customers in your region [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) Nice to have: Databricks Certification Note: If your experience isn’t a perfect match for the job description, but you feel you’re a good fit for the role, apply. We value smart, passionate people who are good at their job, including those with non-linear career paths. About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits
Comprehensive health coverage including medical, dental, and vision 401(k) Plan Equity awards Flexible time off Paid parental leave Family Planning Gym reimbursement Annual personal development fund Employee Assistance Program (EAP) Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors, including job-related skills, depth of experience, relevant certifications and training, and location. Zones listed reflect regional pay ranges and may vary by location. Zone 1 Pay Range: $196,200—$274,650 USD Zone 2Pay Range: $196,200—$274,650 USD Zone 3 Pay Range: $196,200—$274,650 USD Zone 4 Pay Range: $196,200—$274,650 USD Our commitment to diversity and inclusion: Databricks is an equal opportunity employer. We hire without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or other protected characteristics. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Software Development
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Senior Solutions Architect - Strategic Accounts, Digital Native Business at Databricks. As a Senior Solutions Architect on the Digital Native Strategic team, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. Databricks' digital native customers are digital-first, cloud-native organizations that rely heavily on data and AI to drive their businesses at global scale. Reporting to the Field Engineering Manager, you will collaborate with strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. Responsibilities
Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help customers solve business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. Validate integrations with cloud services, homegrown tools, and other third-party applications. Collaborate with fellow Solutions Architects to support each other and our users. Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across the developer community. What We Look For
7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in, and debugging, Python and SQL Experience with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka) Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, PyTorch, TensorFlow) Willingness to travel to customers in your region [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) Nice to have: Databricks Certification Note: If your experience isn’t a perfect match for the job description, but you feel you’re a good fit for the role, apply. We value smart, passionate people who are good at their job, including those with non-linear career paths. About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits
Comprehensive health coverage including medical, dental, and vision 401(k) Plan Equity awards Flexible time off Paid parental leave Family Planning Gym reimbursement Annual personal development fund Employee Assistance Program (EAP) Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors, including job-related skills, depth of experience, relevant certifications and training, and location. Zones listed reflect regional pay ranges and may vary by location. Zone 1 Pay Range: $196,200—$274,650 USD Zone 2Pay Range: $196,200—$274,650 USD Zone 3 Pay Range: $196,200—$274,650 USD Zone 4 Pay Range: $196,200—$274,650 USD Our commitment to diversity and inclusion: Databricks is an equal opportunity employer. We hire without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or other protected characteristics. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Software Development
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