Principal Solution Architect

🕒 il y a 4 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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phData

201 - 500 employés

Fondée en 2014

🤖 Intelligence artificielle

☁️ SaaS

🏢 Entreprise

💰 €2 500 000 Seed Round en 2018-03

Artificial Intelligence • SaaS • Enterprise

phData est une entreprise spécialisée dans la fourniture de solutions d'ingénierie de données, d'analytique et de migration vers le cloud. Elle propose des services comprenant des stratégies d'IA et d'apprentissage automatique, d'analytique et de visualisation, ainsi que des opérations élastiques pour aider les entreprises à construire et à mettre en œuvre des produits et applications de données modernes. phData est un partenaire d'élite de Snowflake et fournit des services de conseil de bout en bout pour développer des applications de données modernes et traiter efficacement de vastes ensembles de données. Elle répond aux besoins d'industries telles que la santé, les services financiers et la fabrication en optimisant les plateformes de données et en fournissant des informations exploitables grâce à une technologie de pointe et une expertise avérée.

Description

• Propose, design, and provision cloud-native data solutions on AWS/Azure. • Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack. • Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader. • Skillfully navigate complex customer environments and build Epics, Stories, and Tasks in order to mature and improve our customers’ data platform. • Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction. • Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes. • Continually hunt for ways to automate, optimize, and expand our customers’ data platform and our service offering.

🎯 Exigences

• Advanced Data Platform expertise in enterprise data platforms such as Snowflake, AWS, Azure, or Databricks. • Extensive experience in providing architectural and operational guidance across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift) • Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, Cassandra or other NoSQL storage systems. • Production experience working with Data integration technologies such as Spark, Kafka, event/streaming, Matillion, Fivetran, HVR, AWS Data Migration Services, Azure DataFactory or others. • Production experience working with Workflow Management and Orchestration, such as Airflow, AWS Managed Airflow, and Luigi. • Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries. • Deep expertise with cloud-native data technologies in AWS or Azure. • Extensive experience with infrastructure as code using Terraform or CloudFormation. • Experience building automated solutions for repetitive administrative tasks using Python or a similar language. • Well-versed with continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket, Github, Flyway, and Liquibase. • Professional track record of creating, challenging, and improving processes and procedures. • Unmatched troubleshooting and performance tuning skills. • Proven experience as a technical team lead and mentor of engineers. • Passion for learning new technology stacks and up-skilling/training team members. • Create and deliver detailed technical presentations for an executive audience. • Excellent client-facing written and verbal communication skills and experience.

🏖️ Avantages

• phData celebrates diversity and is committed to creating an inclusive environment for all employees. • Professional development opportunities • Flexible work arrangements

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