Solutions Architect – Digital Native Business, Fintech

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Illinois, +6 more states – Remote

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💵 $180k - $247.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 2%

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Logo of Databricks

Databricks

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

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.

📋 Description

• Own end-to-end technical strategy for accounts from discovery through production deployment and consumption growth • Lead architecture discussions for scalable production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Advise customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios through custom-built solutions • Develop and declare an emerging technical specialization • Coordinate DSAs, SSAs, and partners to deliver comprehensive customer solutions • Provide structured customer and competitive feedback to influence product direction • Demonstrate Databricks platform solutions through design, live coding, debugging, solution-building, and presentation interviews

🎯 Requirements

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building • Deep expertise in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficiency on the Databricks Platform or ability to achieve proficiency rapidly • Developing technical specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations • Ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills for translating complex architectures into business value • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certifications, competitive platform experience, data/AI company or cloud provider background, and industry domain expertise listed as nice to have • If access to export-controlled technology or source code is required, employment may depend on U.S. government license approval

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks • Region-specific employee benefits

Apply Now

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