Resident Solutions Architect – Public Sector

🕒 March 10

☕ Washington – Remote

☕ Washington – Remote

💵 $180.7k - $248.4k / 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

• Work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform • Provide data engineering, data science, and cloud technology projects • Integrating with client systems, training, and other technical tasks to help customers to get most value out of their data • RSAs are billable and know how to complete projects according to specification with excellent customer service • Report to the regional Manager/Lead • Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects • Provide an escalated level of support for customer operational issues • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

🎯 Requirements

• 6+ years experience in data engineering, data platforms & analytics • Comfortable writing code in either Python or Scala • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Design and deployment of performant end-to-end data architectures • Experience with technical project delivery - managing scope and timelines • Documentation and white-boarding skills • Experience working with clients and managing conflicts • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects • Travel to customers 20% of the time • Databricks Certification

🏖️ Benefits

• Comprehensive benefits and perks • Bonus potential • Equity offerings