Solutions Architect – Strat Media

🕒 5 days ago

🏄 California – Remote

🏄 California – Remote

💵 $180k - $247.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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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 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 through custom-built solutions • Develop and declare an emerging technical specialization (archetype) • Orchestrate 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 ability to achieve proficiency rapidly, with a technical specialization • 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 • 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 are nice to have • Experience with Snowflake, AWS native services, or Azure Synapse is nice to have • Background in a data/AI company or cloud provider is nice to have • Industry domain expertise is nice to have

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks, with specific regional details provided via the employer's benefits document