Solutions Architect – Digital Native Business, Fintech

This is a fully remote position, open to applicants in California, +7 more states.

📋 Description

• Take charge of the complete technical strategy for accounts, from the initial discovery phase to production deployment and growth in consumption.

• Facilitate architectural discussions focused on scalable, production-grade solutions that encompass data engineering, ML/AI, and real-time analytics.

• Provide guidance to customer architects, engineering leads, and Directors.

• Secure technical victories in competitive settings through customized solutions.

• Establish and declare a developing technical specialization.

• Collaborate with DSAs, SSAs, and partners to deliver all-encompassing customer solutions.

• Offer structured feedback from customers and competitors to shape product direction.

• Showcase Databricks platform solutions through design, live coding, debugging, solution development, and presentation interviews.

⛳️ Requirements

• Minimum of 6 years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical position.

• Strong coding abilities in Python and SQL, including live coding, debugging, and solution creation.

• In-depth knowledge of distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.

• Proficiency in the Databricks Platform or the capability to achieve it quickly.

• Developing technical expertise in areas such as real-time/streaming, ML/AI, data governance, or migrations.

• Capacity to lead architectural discussions with senior technical stakeholders, including whiteboarding, design evaluations, and trade-off analysis.

• Experience with production deployments on AWS, Azure, or GCP, encompassing infrastructure, security, and governance.

• Proven history of driving platform adoption and growth in consumption within accounts.

• Outstanding communication skills for conveying complex architectures in terms of business value.

• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

• Databricks certifications, experience with competitive platforms, background in data/AI companies or cloud providers, and domain expertise are considered advantageous.

• If access to export-controlled technology or source code is necessary, employment may be contingent upon U.S. government license approval.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity eligibility.

• Comprehensive benefits and perks.

• Employee benefits specific to the region.