[Remote] Sr. Solutions Architect - Emerging
Note: The job is a remote job and is open to candidates in USA. Databricks is the data and AI company, and they are seeking a Sr. Solutions Architect to partner with customers in designing scalable data architectures using Databricks technology. The role involves engaging with technical leads, developing account strategies, and promoting Databricks solutions to achieve customer goals.
Responsibilities
ā¢ You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform
ā¢ Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning
ā¢ You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases
ā¢ Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications
ā¢ Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
Skills
ā¢ 8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following technologies: Big data engineering (Ex: Spark, Hadoop, Kafka), Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO), Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
ā¢ Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business
ā¢ Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures
ā¢ Fluent in SQL and database technology
ā¢ Debug and development experience in at least one of the following languages: Python, Scala, Java, or R
ā¢ Travel to customers in your region up to 30% of the time
ā¢ Built solutions with public cloud providers such as AWS, Azure, or GCP
ā¢ Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Benefits
ā¢ Annual performance bonus
ā¢ Equity
Company Overview
ā¢ Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.databricks.com.
Company H1B Sponsorship
ā¢ Databricks has a track record of offering H1B sponsorships, with 385 in 2025, 319 in 2024, 227 in 2023, 222 in 2022, 166 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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Responsibilities
ā¢ You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform
ā¢ Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning
ā¢ You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases
ā¢ Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications
ā¢ Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
Skills
ā¢ 8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following technologies: Big data engineering (Ex: Spark, Hadoop, Kafka), Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO), Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
ā¢ Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business
ā¢ Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures
ā¢ Fluent in SQL and database technology
ā¢ Debug and development experience in at least one of the following languages: Python, Scala, Java, or R
ā¢ Travel to customers in your region up to 30% of the time
ā¢ Built solutions with public cloud providers such as AWS, Azure, or GCP
ā¢ Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Benefits
ā¢ Annual performance bonus
ā¢ Equity
Company Overview
ā¢ Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.databricks.com.
Company H1B Sponsorship
ā¢ Databricks has a track record of offering H1B sponsorships, with 385 in 2025, 319 in 2024, 227 in 2023, 222 in 2022, 166 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply tot his job
Apply To this Job