Sr. Solutions Engineer

As a Sr. Solutions Engineer, you'll guide customers on big data solutions, collaborate on architectures, and promote Databricks projects with a focus on data engineering and data science. The summary above was generated by AI

As a Sr. Solutions Engineer on the AI native team supporting the Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

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. As well as validating integrations with cloud services, home grown tools, and other 3rd 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., Design and build scalable, fault-tolerant backend payment services in Go. Own end-to-end delivery from design to production, improve reliability, observability, and performance, and collaborate with product and cross-functional teams to expand payment capabilities and integrations. Top Skills: APIsDistributed SystemsGenerative AiGoMicroservicesObservabilityPaymentsService-Oriented Architecture HiBob

• 3+ 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

• Have built solutions with public cloud providers such as AWS, Azure, or GCP

• Expertise in one of the following:

• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)

• Data Science and Machine Learning technologies (Ex: 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

Location: Remote (Pacific Time preferred; Mountain Time considered).

NOTE: If your experience isn't a perfect match for the job description, but you feel like you're a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

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 are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position 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 page here. Local Pay Range $152,300-$209,450 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here., Remote United States 75K-126K Annually Senior level 75K-126K Annually Senior level Big Data * Transportation * Analytics * Big Data Analytics Lead monitoring and optimization of programmatic ad campaigns using real-time and historical data. Diagnose performance issues, design A/B and multivariate experiments, partner with AdOps and Data Science to operationalize ML-driven solutions, and drive automation of campaign decisioning to scale revenue and efficiency. Top Skills: A/B TestingProgrammatic AdvertisingPythonSQL Coinbase, Remote or Hybrid United States 103K-129K Annually Mid level 103K-129K Annually Mid level HR Tech * Information Technology * Professional Services * Sales * Software Provide technical support and escalation ownership for payroll workflows: investigate and resolve payroll run issues, taxes, benefits, and integrations; advise customers on payroll configuration and compliance; collaborate with Product and Engineering to translate issues into product improvements; proactively identify misconfigurations and recommend process improvements and documentation. Top Skills: APIsCSSDatabasesHrisHTMLPayroll PlatformsScriptingSQLWebhooks

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Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - 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.