Databricks
Solutions Architect - Digital Native Business
Databricks, San Francisco, California, United States, 94199
Overview
Join to apply for the
Solutions Architect - Digital Native Business
role at
Databricks . While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The Impact You Will Have
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. Also validating integrations with cloud services, homegrown tools, and other third-party applications. Collaborate with your fellow Solutions Architects, using your skills to support each other and our users. Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. Responsibilities
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. Also validating integrations with cloud services, homegrown tools, and other third-party applications. Collaborate with your fellow Solutions Architects, using your skills to support each other and our users. Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What We Look For
5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role. Experience building distributed data systems. Comfortable programming in Python and SQL, including debugging. Have built solutions with public cloud providers such as AWS, Azure, or GCP. Expertise in one of the following areas:
Data Engineering technologies (Spark, Hadoop, Kafka) Data Science and Machine Learning technologies (pandas, scikit-learn, pytorch, Tensorflow)
Available to travel to customers in your region. Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research). Nice to have: Databricks Certification. 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 the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation depends on factors such as job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package 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 location page. Zone 1 Pay Range: $113,000$158,150 USD Zone 2 Pay Range: $113,000$158,150 USD Zone 3 Pay Range: $113,000$158,150 USD Zone 4 Pay Range: $113,000$158,150 USD 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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 Details
Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development Referrals increase your chances of interviewing at Databricks. Location notice: San Francisco, CA (or remote options may be considered). #J-18808-Ljbffr
Join to apply for the
Solutions Architect - Digital Native Business
role at
Databricks . While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The Impact You Will Have
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. Also validating integrations with cloud services, homegrown tools, and other third-party applications. Collaborate with your fellow Solutions Architects, using your skills to support each other and our users. Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. Responsibilities
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. Also validating integrations with cloud services, homegrown tools, and other third-party applications. Collaborate with your fellow Solutions Architects, using your skills to support each other and our users. Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What We Look For
5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role. Experience building distributed data systems. Comfortable programming in Python and SQL, including debugging. Have built solutions with public cloud providers such as AWS, Azure, or GCP. Expertise in one of the following areas:
Data Engineering technologies (Spark, Hadoop, Kafka) Data Science and Machine Learning technologies (pandas, scikit-learn, pytorch, Tensorflow)
Available to travel to customers in your region. Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research). Nice to have: Databricks Certification. 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 the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation depends on factors such as job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package 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 location page. Zone 1 Pay Range: $113,000$158,150 USD Zone 2 Pay Range: $113,000$158,150 USD Zone 3 Pay Range: $113,000$158,150 USD Zone 4 Pay Range: $113,000$158,150 USD 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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 Details
Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development Referrals increase your chances of interviewing at Databricks. Location notice: San Francisco, CA (or remote options may be considered). #J-18808-Ljbffr