Solutions Architect

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $180k - $247.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Databricks

WebsiteLinkedInAll Job Openings

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 the end-to-end technical strategy for accounts from initial discovery through production deployment and consumption growth • Lead complex architecture discussions and design scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions • Develop and declare an emerging technical specialization, becoming a go-to resource for the team in that domain • Orchestrate cross-functional resources, including DSAs, SSAs, and Partners, to deliver comprehensive solutions • Influence product direction through structured feedback on customer requirements and competitive gaps

🎯 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 demonstrated ability to achieve proficiency rapidly • Developing technical specialization in one 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 considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills for translating complex architectures into business value for technical and executive audiences • Ability to travel to customers 30% of the time • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certifications, experience with Snowflake, AWS native services, Azure Synapse, data/AI companies or cloud providers, and industry domain expertise are nice to have

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (specific regional details provided via employer benefits document)