Databricks
Overview
Sr. Solutions Architect - Emerging at Databricks. As a Sr. Solutions Architect within the Field Engineering organization, you will partner with 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, engaging with customers' technical leads, architects, engineers, and operations teams to establish yourself as a trusted advisor and achieve tangible outcomes. You will work with teams across Databricks and report to the Field Engineering Manager. Responsibilities
Work with Sales and other partners to develop account strategies to grow platform usage for assigned accounts. Establish the Databricks Lakehouse architecture as the standard data architecture for customers through technical account planning. Build and present reference architectures and demo applications to help prospects understand how Databricks supports their goals, driving adoption and new use cases. Capture technical wins by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; validate integrations with cloud services and third-party applications. Promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities via 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 (Spark, Hadoop, Kafka); Data Warehousing & ETL (SQL, OLTP/OLAP/DSS); Data Science and Machine Learning (pandas, scikit-learn, hyperparameter optimization); Data Applications (logs analysis, threat detection, real-time monitoring, risk analysis); or related fields. Experience translating business needs to technology solutions and securing buy-in from stakeholders at all levels. Experience designing, architecting, and presenting data systems for customers and delivering production solutions. Fluent in SQL and database technology. Development experience in Python, Scala, Java, or R. Desirable: Experience building solutions with public cloud providers (AWS, Azure, GCP). Desirable: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research). Travel to customers in your region up to 30% of the time. Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range 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 factors including skills, depth of experience, certifications, training, and location. The total compensation may include annual performance bonus, equity, and listed benefits. For more information regarding location-based ranges, visit our page. Zone 2: $196,200—$274,650 USD Zone 3: $196,200—$274,650 USD Zone 4: $196,200—$274,650 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco with offices worldwide. Benefits
For specific details on benefits offered in your region, please visit the provided benefits page. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture. We hire without regard to age, color, disability, ethnicity, gender identity or expression, language, national origin, race, religion, sexual orientation, veteran status, or other protected characteristics. Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is at 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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Sr. Solutions Architect - Emerging at Databricks. As a Sr. Solutions Architect within the Field Engineering organization, you will partner with 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, engaging with customers' technical leads, architects, engineers, and operations teams to establish yourself as a trusted advisor and achieve tangible outcomes. You will work with teams across Databricks and report to the Field Engineering Manager. Responsibilities
Work with Sales and other partners to develop account strategies to grow platform usage for assigned accounts. Establish the Databricks Lakehouse architecture as the standard data architecture for customers through technical account planning. Build and present reference architectures and demo applications to help prospects understand how Databricks supports their goals, driving adoption and new use cases. Capture technical wins by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; validate integrations with cloud services and third-party applications. Promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities via 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 (Spark, Hadoop, Kafka); Data Warehousing & ETL (SQL, OLTP/OLAP/DSS); Data Science and Machine Learning (pandas, scikit-learn, hyperparameter optimization); Data Applications (logs analysis, threat detection, real-time monitoring, risk analysis); or related fields. Experience translating business needs to technology solutions and securing buy-in from stakeholders at all levels. Experience designing, architecting, and presenting data systems for customers and delivering production solutions. Fluent in SQL and database technology. Development experience in Python, Scala, Java, or R. Desirable: Experience building solutions with public cloud providers (AWS, Azure, GCP). Desirable: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research). Travel to customers in your region up to 30% of the time. Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range 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 factors including skills, depth of experience, certifications, training, and location. The total compensation may include annual performance bonus, equity, and listed benefits. For more information regarding location-based ranges, visit our page. Zone 2: $196,200—$274,650 USD Zone 3: $196,200—$274,650 USD Zone 4: $196,200—$274,650 USD About Databricks
Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco with offices worldwide. Benefits
For specific details on benefits offered in your region, please visit the provided benefits page. Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture. We hire without regard to age, color, disability, ethnicity, gender identity or expression, language, national origin, race, religion, sexual orientation, veteran status, or other protected characteristics. Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is at 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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