Resident Solutions Architect – Financial Services

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $180.656 - $248.360 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Databricks

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2013

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

💰 €1.600.000.000 Series H im 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks ist ein Daten- und KI-Unternehmen und bietet eine einheitliche Plattform für Data Engineering, Machine Learning und Analytics. Der Schwerpunkt liegt auf der Optimierung der Big-Data-Verarbeitung. Databricks unterstützt Organisationen dabei, Apache Spark zu nutzen, um tiefere Erkenntnisse und leistungsstarke, datengetriebene Anwendungen bereitzustellen. Zudem stellt Databricks robuste Tools und eine nahtlose Integration für MLOps (Machine Learning Operations) bereit.

Beschreibung

• 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 • Work with engagement managers to scope variety of professional services work with input from the customer • 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 hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • 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.

🎯 Anforderungen

• 9+ 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 Apache Spark™ runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Capable of design and deployment of highly 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. • Experience in building scalable streaming and batch solutions using cloud-native components • Travel to customers up to 20% of the time • Nice to have: Databricks Certification

🏖️ Vorteile

• Eligibility for annual performance bonus • Equity