Databricks
Overview
Join to apply for the
Sr. Solutions Architect - Emerging
role at
Databricks . As a Sr. Solutions Architect at Databricks within the Field Engineering org, you will partner with our customers to design scalable data architectures using Databricks technology and services. You will drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle, partnering with Account Executives to engage with customers’ technical leads, including architects, engineers, and operations teams. You will work with teams across Databricks and our executive leadership to represent customer needs, build valuable engagements, and report to the Field Engineering Manager. Responsibilities
Work with Sales and other essential partners to develop account strategies for assigned accounts to grow their usage of the Databricks platform. Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals and land new use cases. Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; validate integrations with cloud services and other third-party applications. Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars. What We Look For
8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following areas: big data engineering, data warehousing & ETL, data science and machine learning, or data applications. Experience translating business needs into technology solutions and establishing buy-in with stakeholders at all levels. Experience designing and presenting data systems for customers and delivering production solutions for data architectures. Fluent in SQL and database technologies. Development experience in Python, Scala, Java, or R. Desirable: experience with public cloud providers (AWS, Azure, or GCP). Desirable: degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research). Travel to customers in the region up to 30% of the time. 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 depend on factors including but not limited to skills, experience, certifications, and location. The total compensation may include bonus, equity, and benefits. For location-specific ranges, visit our page here. Zone 2 Pay Range: $196,200—$274,650 USD Zone 3 Pay Range: $196,200—$274,650 USD Zone 4 Pay Range: $196,200—$274,650 USD About Databricks
Databricks is the data and AI company trusted by more than 10,000 organizations worldwide to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits
We offer comprehensive benefits and perks. For specific details in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion
We are 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 the employer’s discretion whether to apply for a U.S. government license for such positions, and the employer may decline to proceed with an applicant on this basis alone.
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Join to apply for the
Sr. Solutions Architect - Emerging
role at
Databricks . As a Sr. Solutions Architect at Databricks within the Field Engineering org, you will partner with our customers to design scalable data architectures using Databricks technology and services. You will drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle, partnering with Account Executives to engage with customers’ technical leads, including architects, engineers, and operations teams. You will work with teams across Databricks and our executive leadership to represent customer needs, build valuable engagements, and report to the Field Engineering Manager. Responsibilities
Work with Sales and other essential partners to develop account strategies for assigned accounts to grow their usage of the Databricks platform. Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals and land new use cases. Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; validate integrations with cloud services and other third-party applications. Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars. What We Look For
8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following areas: big data engineering, data warehousing & ETL, data science and machine learning, or data applications. Experience translating business needs into technology solutions and establishing buy-in with stakeholders at all levels. Experience designing and presenting data systems for customers and delivering production solutions for data architectures. Fluent in SQL and database technologies. Development experience in Python, Scala, Java, or R. Desirable: experience with public cloud providers (AWS, Azure, or GCP). Desirable: degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research). Travel to customers in the region up to 30% of the time. 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 depend on factors including but not limited to skills, experience, certifications, and location. The total compensation may include bonus, equity, and benefits. For location-specific ranges, visit our page here. Zone 2 Pay Range: $196,200—$274,650 USD Zone 3 Pay Range: $196,200—$274,650 USD Zone 4 Pay Range: $196,200—$274,650 USD About Databricks
Databricks is the data and AI company trusted by more than 10,000 organizations worldwide to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits
We offer comprehensive benefits and perks. For specific details in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion
We are 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 the employer’s discretion whether to apply for a U.S. government license for such positions, and the employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr