Senior Solutions Architect, Financial Services

September 29

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🏖️ New Jersey – Remote

Although this job is listed in New Jersey, this company may be open to hiring remote in other states.

+2 more states

🏄 California – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $196.2k - $274.6k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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Databricks

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Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

📋 Description

• Partner with customers to design scalable data architectures using Databricks technology and services • Work with Sales and Account Executives to develop account strategies and grow platform usage • Establish the Databricks Lakehouse architecture as the standard data architecture for customers through technical account planning • Build and present reference architectures and demo applications for prospects to demonstrate Databricks capabilities • Consult 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) through meetups, conferences, and webinars • Report to the Field Engineering Manager and collaborate with teams across Databricks and executive leadership to represent customer needs and build engagements

🎯 Requirements

• 8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the listed 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) • Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business • Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures • Fluent in SQL and database technology • Debug and development experience in at least one of the following languages: Python, Scala, Java, or R • [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) • Travel to customers in your region up to 30% of the time

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks (see https://www.mybenefitsnow.com/databricks) • Pay range transparency