Data Architect

🕒 Julho 29

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

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BlueCloud

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2004

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A BlueCloud é uma empresa global de tecnologia que se especializa em transformar negócios através de dados, análises e IA generativa. Seus serviços incluem engenharia de dados, análises, design de software, DevOps e governança de dados, aproveitando a tecnologia revolucionária de IA para melhorar a tomada de decisões e a eficiência. Como um parceiro reconhecido no crescimento de Serviços de Nuvem de Dados, a BlueCloud fornece soluções completas de nuvem que capacitam organizações a maximizar seu potencial de dados e apoiar a transformação digital através de equipes globais escaláveis e de alto desempenho.

Descrição

• Lead the architecture, assessment, and modernization of enterprise Snowflake data platforms. • Define current-state and target-state architectures across data ingestion, transformation, storage, orchestration, governance, security, and consumption. • Lead inventories and assessments of Python-, SQL-, and stored-procedure-based pipelines, classifying workloads by business criticality, frequency, volume, runtime, reliability, and cost. • Analyze Snowflake usage telemetry to establish cost and performance baselines across pipelines, warehouses, and workloads. • Identify architectural and engineering anti-patterns, including procedural row-by-row processing, unnecessary full refreshes, missing incremental patterns, redundant transformations, warehouse mis-sizing, and insufficient workload isolation. • Recommend modernization strategies using set-based processing, incremental data patterns, Dynamic Tables, Streams and Tasks, Snowpark, dbt, and appropriate orchestration technologies. • Design scalable data models, governed data domains, semantic layers, and context models that support analytics and AI use cases. • Architect Snowflake Cortex solutions using capabilities such as Cortex Analyst, Cortex Search, and Cortex LLM functions. • Establish architectural standards for security, access control, data governance, lineage, observability, performance, resilience, and business continuity. • Design data lakehouse and real-time data-processing architectures across AWS, Azure, or GCP. • Evaluate and recommend appropriate use of Snowflake Iceberg Tables and other open data architecture patterns. • Build prioritized optimization backlogs and sequenced delivery roadmaps based on business impact, technical risk, cost, performance, and implementation effort. • Provide technical leadership across multiple concurrent projects and guide engineers, analysts, QA specialists, and DevOps teams. • Support project planning, estimation, scope definition, dependency management, risk mitigation, and technical governance. • Lead discovery workshops and interviews with client stakeholders and subject-matter experts. • Present architecture decisions, assessment findings, quantified impact projections, and roadmap recommendations to technical and executive audiences. • Act as a trusted advisor to clients throughout architecture and delivery engagements. • Create and maintain architecture diagrams, decision records, technical standards, and platform documentation.

🎯 Requisitos

• 10+ years of experience in data architecture, data engineering, or a comparable senior technical role. • At least 2–4 years of deep Snowflake architecture and implementation experience. • Proven experience designing and modernizing enterprise-scale Snowflake data platforms. • Strong knowledge of Snowflake environment design, security, governance, data modeling, workload management, and performance and cost optimization. • Hands-on experience with Snowflake capabilities including Snowpark, Dynamic Tables, Streams and Tasks, stored procedures, and system usage views. • Expert-level SQL and strong Python skills. • Strong experience with dbt and data pipeline or orchestration technologies such as Fivetran, Kafka, Airflow, or similar tools. • Experience designing batch, streaming, lakehouse, and cloud-native data architectures. • Strong understanding of data governance, access control, lineage, data quality, and metadata management. • Experience with at least one major cloud platform: AWS, Azure, or GCP. • Proven ability to lead discovery, assessment, architecture, and modernization engagements. • Experience providing technical leadership across multidisciplinary Agile delivery teams. • Strong client-facing, presentation, and stakeholder-management skills. • Ability to communicate complex technical concepts clearly to engineering teams, business leaders, and executive sponsors.