Senior Solution Architect

🕒 Julho 13

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Tiger Analytics

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.