Data Architect and Strategy – AI Integration, Deployment

🕒 Maio 4

🏈 Ohio – Remoto

🏈 Ohio – Remote

💵 $150.000 - $180.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

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CompassX Group

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2009

🤝 B2B

B2B • Consulting • Technology

O CompassX Group é uma empresa de consultoria empresarial e tecnológica especializada em fornecer serviços em vários setores, incluindo serviços financeiros, saúde, ciências da vida e consumo discricionário. Sua expertise inclui consultoria em tecnologia, soluções de dados, resiliência empresarial e evolução ágil de produtos, ajudando as organizações a implementarem estratégias eficazes e melhorarem a eficiência operacional.

Descrição

• Architect the Data Foundation: Design and own the end-to-end data architecture underpinning GenAI application deployments - spanning ingestion, transformation, serving layers, and integration with existing enterprise data environments, including Databricks and legacy platforms. • Get Hands-On in the Stack: Work directly with application and ML teams to implement and validate data pipelines, schema designs, and data access patterns that power production-grade AI applications built in Python/FastAPI. • Drive Proactive Integration: Operate at a high velocity by anticipating data needs rather than waiting for them. You will partner closely with—and complement—integration architects, filling the technical gaps to keep the project moving at a rapid pace • Bridge Two Worlds: Act as a high-EQ consultant who can translate complex data architecture decisions into clear strategic narratives for client leadership - and then roll up your sleeves to implement them alongside the team. • Set the Data Standards: Define and enforce data governance, quality, and lineage practices within the delivery environment. Ensure that what gets built is not just functional, but defensible, scalable, and ready for enterprise scrutiny. • Enable the Client: Partner with client-side data and engineering teams to build understanding and ownership of the new architecture. Leave behind capability, not dependency.

🎯 Requisitos

• Senior Data Architecture Experience: 10+ years across data engineering, architecture, or a closely related discipline. You've designed systems that actually went to production — not just the whiteboard version. • Modern Data Platform Fluency: Deep familiarity with lakehouse architectures, with hands-on Snowflake experience strongly preferred. You understand how data flows from raw ingestion to AI-ready serving layers. • GenAI Context: Experience working in or adjacent to AI/ML application development. You understand how LLMs and AI applications consume data, and what that demands of the underlying architecture. • Application Development Exposure: You have a strong understanding of the full application development lifecycle. You possess the 'know-how' of app building to see exactly how data architecture integrates with the broader system. • Consulting & Stakeholder Acumen: Experience in a consulting or client-facing delivery environment. You can build trust quickly, navigate organizational complexity, and communicate architecture decisions to both technical and non-technical audiences. • Builder Mentality: You're not just an advisor - you write code, build pipelines, and validate your own designs. Python fluency and comfort in cloud-native data environments are expected. • AI-Ready Mindset: You embrace AI tooling as a force multiplier and are excited to operate at the intersection of modern data infrastructure and applied GenAI delivery.

🏖️ Benefícios

• Competitive salary with performance-based bonus • PTO, holidays, and sabbatical program • Health, dental, vision, and life insurance • Retirement plan with company match from day one • Learning and professional development support • Small-firm culture with direct access to leadership