Principal Data Architect

🕒 Agosto 24

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $195.000 - $270.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Egen

501 - 1000 funcionários

Fundada em 2000

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

A Egen é uma empresa que se especializa em soluções inovadoras de engenharia usando plataformas, dados e IA generativa. Eles se concentram em aproveitar o potencial dos dados para capacitar organizações e indivíduos, fornecendo serviços em vários setores, incluindo comunicações, saúde e soluções para o setor público. Suas plataformas personalizáveis abordam desafios críticos na gestão urbana, engajamento do cliente, cuidado clínico e excelência operacional, com o objetivo de gerar resultados impactantes para os clientes.

Descrição

• Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform using BigQuery, GCS, BigLake, and Dataplex • Collaborate directly with customers to understand business goals, data challenges, and technical requirements and translate them into architectural blueprints and actionable plans • Design and implement data pipelines for real-time and batch ingestion using modern orchestration and streaming frameworks • Establish best practices for data cataloging, metadata management, lineage, and data quality • Define and implement data security, access control, and governance models • Serve as technical lead for project teams, mentoring engineers, reviewing solutions, and ensuring architectural consistency • Conduct hands-on solutioning, proofs of concept, data-pipeline deep dives, and performance tuning • Partner with stakeholders, cloud architects, and delivery leads to drive solution adoption, scalability, and maintainability • Represent Egen as a trusted technical advisor in client engagements

🎯 Requisitos

• 8–10 years of progressive experience in Software Engineering and Data Platform development, with 5+ years architecting data platforms on GCP and/or Databricks • Proven hands-on experience designing and deploying Data Lakehouse platforms with data products and medallion architectures • Strong understanding of data ingestion patterns (real-time and batch), ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or similar frameworks • Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads • Experience implementing data governance, security, and cataloging solutions (Dataplex, Data Catalog, IAM, or equivalent) • Excellent communication and presentation skills, able to engage with technical and non-technical stakeholders and guide clients through solution decisions • Demonstrated ability to lead mixed teams of engineers, analysts, and architects, balancing architectural vision with hands-on delivery • Strong problem-solving mindset, curiosity to explore new technologies, and ability to handle architecture discussions and code-level troubleshooting • Experience with Databricks (Delta Lake, Unity Catalog) and hybrid GCP-Databricks data architectures (nice to have)

🏖️ Benefícios

• Comprehensive Health Insurance • Paid Leave (Vacation/PTO) • Paid Holidays • Sick Leave • Parental Leave • Bereavement Leave • 401 (k) Employer Match • Employee Referral Bonuses

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