Principal Solution Architect

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 26%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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phData

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2014

💼 Conseil

🏥 Santé

🏭 Fabrication

💰 €2 500 000 Seed Round en 2018-03

Consulting • Healthcare • Manufacturing

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

• Own and drive the design, provisioning, and enhancement of cloud-native data solutions on AWS and/or Azure, leveraging deep expertise in Snowflake and related data services for enterprise-scale platforms. • Lead the operation and management of modern data platforms—from streaming and data lakes to analytics—across a progressively evolving technical stack for multiple concurrent customer accounts. • Translate business and technical requirements into Epics, Stories, and Tasks that mature and improve customers’ data platforms, ensuring timely and successful delivery of these initiatives. • Provide architectural and operational guidance for cloud-native data warehouses (e.g., Snowflake, Redshift) and distributed storage technologies (e.g., S3, ADLS, NoSQL) to support large user bases. • Recommend appropriate technologies and approaches to ensure performance, security, scalability, and user satisfaction, including data model design for data warehouses and data lakes. • Continually identify and deliver automation and optimization opportunities that expand and harden customers’ data platforms and phData’s managed services offerings. • Serve as the technical leader across multiple accounts, providing clear ownership, direction, and decision-making while navigating complex customer environments. • Delegate work effectively, coach engineers, and mentor team members, fostering upskilling and continuous learning across evolving technology stacks. • Collaborate across technology stacks and organizational silos to integrate disparate functions and technologies into cohesive solutions. • Create and deliver detailed technical presentations and recommendations for executive and senior stakeholders, articulating complex concepts clearly and confidently. • Demonstrate calm, structured thinking under pressure—quickly assessing situations, formulating plans of action, and following through to successful outcomes. • Manage the human side of delivery, engaging respectfully and confidently with teammates and customers, including during challenging conversations. • Create, challenge, and improve processes and procedures to enhance the quality, consistency, and scalability of managed services delivery. • Build automated solutions for repetitive administrative and operational tasks using Python or similar tooling to increase efficiency and reliability. • Contribute to internal knowledge sharing, training, and upskilling initiatives that raise the technical bar across the team. • Help refine and standardize patterns, runbooks, and best practices for modern data platforms, workflows, and CI/CD across the practice.

🎯 Exigences

• 15+ years of experience architecting, operating, and optimizing modern cloud-based data platforms and data warehouses in enterprise environments. • Advanced data platform expertise in Snowflake and at least one major cloud platform (AWS and/or Azure), with experience in Databricks or similar technologies. • Hands-on experience with cloud and distributed data storage technologies such as S3, ADLS, Cassandra, or other NoSQL systems. • Strong background in data integration technologies, including Spark, Kafka, event/streaming platforms, and tools such as Matillion, Fivetran, HVR, AWS Data Migration Services, and Azure Data Factory. • Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, and Luigi. • Strong SQL skills, including the ability to write, debug, and optimize complex queries for performance and reliability. • Extensive experience with Infrastructure as Code using Terraform or CloudFormation. • Experience building automated solutions for repetitive administrative or operational tasks using Python or a similar language. • Familiarity with CI/CD and deployment frameworks, including tools like Bitbucket, GitHub, Flyway, and Liquibase. • Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output. • Ability to describe specific engineering tasks completed with AI assistance. • Experience delivering projects and managed services for external or internal clients in a professional services, consulting, or complex enterprise environment. • Ability to break down complex, multifaceted data challenges into structured, actionable steps and drive them through to completion. • Proven experience as a technical team lead and mentor, providing direction, coaching, and quality oversight for engineers. • Strong client-facing written and verbal communication skills, including comfort presenting detailed technical content to executive audiences. • Demonstrated ability to work effectively with distributed, cross-functional teams across platforms, applications, and organizational boundaries. • Professional track record of creating, challenging, and improving processes and procedures to enhance delivery quality and efficiency. • Unmatched troubleshooting and performance tuning skills, with a strong sense of ownership and follow-through. • Presence and poise to manage the human side of delivery, including difficult conversations, while upholding a respectful and collaborative culture. • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

🏖️ Avantages

• Remote-First Work Environment • 401k plan with company match • Medical, Dental and Vision insurance • Home Office Equipment Stipend • Annual stipend for Learning and Development • Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)