Senior Solution Architect

🕒 il y a 2 mois

🤠 Texas – Distant

🤠 Texas – Remote

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 18%

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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Tiger Analytics

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2011

🏥 Santé

📦 Logistique

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics est une société de conseil en IA et analyse de données de premier plan, spécialisée dans l'exploitation de la science des données et de l'apprentissage automatique pour fournir des insights stratégiques aux entreprises dans divers secteurs. Elle offre des services en stratégie de données, ingénierie de l'IA, et intelligence d'affaires pour permettre la prise de décisions basée sur les données et la transformation numérique de ses clients. Tiger Analytics collabore avec des partenaires technologiques de renom comme Microsoft, Google Cloud et AWS pour offrir des solutions de pointe. Elle intervient dans divers secteurs, y compris les biens de consommation courante, la santé et les finances, aidant les entreprises à opérationnaliser les insights et à se démarquer grâce aux technologies d'IA et d'apprentissage automatique.

Description

• Lead enterprise Data & Analytics architecture engagements, designing scalable, secure, and future-ready solutions using AWS and Databricks aligned with business objectives. • Assess existing legacy data ecosystems and define target-state architecture, modernization roadmaps, migration strategies, and technology blueprints for enterprise transformation programs. • Act as a trusted advisor to senior client stakeholders (CXO, VP, Director level), conducting architecture workshops, technical discovery sessions, and strategic consulting engagements. • Drive end-to-end solution architecture across cloud data platforms, including data lakes, lakehouses, enterprise data warehouses, streaming platforms, metadata management, governance, and analytics ecosystems. • Define enterprise architecture standards, reusable design patterns, best practices, and governance frameworks while ensuring alignment with organizational technology strategies. • Lead technical solutioning discussions involving clients, implementation partners, and cross-functional delivery teams to ensure architecture consistency and successful program execution. • Design scalable data ingestion, transformation, storage, and analytics architectures supporting structured, semi-structured, and unstructured data. • Collaborate closely with business, product, engineering, and data science teams to translate business requirements into scalable technical solutions. • Recommend platform accelerators, reusable frameworks, automation opportunities, and optimization strategies to improve delivery efficiency and reduce implementation timelines. • Provide architectural oversight throughout project execution, reviewing technical designs, resolving complex technical challenges, and mentoring global engineering teams. • Lead architecture governance by conducting solution reviews, ensuring compliance with enterprise security, scalability, performance, and data governance standards. • Drive cloud modernization initiatives involving migration from legacy data platforms to AWS-based cloud-native architectures. • Evaluate emerging technologies and recommend innovative solutions across Data Engineering, AI/ML, GenAI, and cloud ecosystems. • Support proposal development, solution estimations, RFP responses, technical presentations, and executive-level client discussions.

🎯 Exigences

• 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture. • Strong expertise in AWS Cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, IAM, Lake Formation, Step Functions, CloudWatch, EventBridge, ECS/EKS, and related services. • Extensive hands-on experience with Databricks, Delta Lake, Unity Catalog, Spark, PySpark, and Lakehouse architecture. • Strong understanding of enterprise Data Warehouse, Data Lake, and Lakehouse architectures. • Expertise in modern data engineering principles, ETL/ELT frameworks, metadata management, data governance, and master data management. • Strong knowledge of SQL, distributed data processing, cloud-native architecture patterns, and scalable data platform design. • Experience designing enterprise integration architectures using APIs, streaming technologies, messaging systems, and event-driven architectures. • Deep understanding of cloud migration strategies, modernization approaches, and hybrid architecture patterns. • Strong stakeholder management with proven experience interacting directly with executive leadership. • Excellent consulting, advisory, presentation, and communication skills.

🏖️ Avantages

• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. • Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.