Solutions Architect – Specialist

September 29

⚔️ Virginia – Remote

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

💵 $161.3k - $225.8k / year

⏰ Full Time

🟡 Mid-level

🟠 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

• Guide customers in building big data solutions on Databricks and support Solution Architects • Provide technical leadership to guide strategic customers to successful implementations on big data projects, from architectural design to data engineering to model deployment • Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization • Become a technical expert in areas such as data lake technology, big data streaming, or big data ingestion and workflows • Assist Solution Architects with advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures • Provide tutorials and training to improve community adoption (including hackathons and conference presentations) • Contribute to the Databricks Community • Report to the Specialist Field Engineering Manager and strengthen technical skills through mentorship and internal training programs

🎯 Requirements

• 5+ years experience in a technical role with expertise in at least one of: Software Engineering/Data Engineering or Data Applications Engineering • Hands-on production experience with Apache Spark • Expertise in data ingestion and streaming technologies (e.g., Spark Streaming, Kafka) • Experience building big data pipelines • Experience maintaining and extending production data systems • Deep specialty expertise in at least one area (scaling big data workloads, migrating Hadoop to public cloud, large scale data ingestion/CDC/streaming, cloud data lake technologies such as Delta) • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Production programming experience in SQL and Python, Scala, or Java • 2 years professional experience with Big Data technologies (e.g., Spark, Hadoop, Kafka) and architectures • 2 years customer-facing experience in a pre-sales or post-sales role • Can meet expectations for technical training and role-specific outcomes within 6 months of hire • Can travel up to 30% when needed

🏖️ Benefits

• Eligibility for annual performance bonus • Equity (stock) eligibility • Comprehensive benefits and perks (see https://www.mybenefitsnow.com/databricks) • Remote work (Central or Eastern US - remote)