Data Solutions Architect – Financial Services

🕒 Outubro 2

🌐 Estados Unidos, Uruguai, +2 outros países – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇺🇾 Uruguai – Remoto 🇦🇷 Argentina – Remoto 🇲🇽 México – Remoto

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

👻 Score fantasma 21%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 39 dias.
• As vagas desta empresa costumam ser preenchidas em 61 dias.
• Sem salário divulgado.

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SunnyData

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

SunnyData é uma empresa de consultoria em engenharia de dados e IA focada em Databricks que auxilia organizações a modernizar suas plataformas de dados, migrar EDWs e data lakes legados para o Databricks e operacionalizar iniciativas de IA/ML e GenAI. A empresa fornece engenheiros certificados pela Databricks, aceleradores de migração, governança de dados, MLOps e expertise de domínio para indústrias como saúde e serviços financeiros.

Descrição

• Serve as a trusted advisor on customers' data engineering and architecture strategies, focused on Databricks solutions • Design, build, and deploy end-to-end data solutions for AI, ML, and business intelligence initiatives • Partner with sales teams to present technical solutions and demonstrate SunnyData's offerings to prospective clients • Manage multiple customer accounts and report on progress and outcomes • Architect solutions using best practices in governance, security, and data quality • Evaluate data sources and recommend inclusion strategies to strengthen analytics • Guide internal teams, mentor project members, and educate end users on data products and analytic environments • Analyze systems, diagnose data and system defects, and apply appropriate fixes • Test data movement, transformation code, and data components for accuracy and reliability • Lead technical execution and presales support, splitting time evenly between both areas

🎯 Requisitos

• 7+ years as a hands-on Solutions Architect and/or Senior Data Engineer • Recent experience implementing data solutions on Databricks • Expertise in Spark, Hadoop, Kafka, Databricks, pandas, and scikit-learn • Deep understanding of data modeling, ETL, data integration, and end-to-end data analytics workflows • Ability to run architecture discovery and solution design sessions and create implementation blueprints • Proficiency in Java, Python, and/or Scala • Experience with AWS, Azure, and/or GCP • Ability to write, debug, and optimize SQL queries • Strong written and verbal communication and client-facing experience • Ability to build and deliver detailed presentations • Experience producing solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views • Experience managing teams and mentoring engineers • Ability to take technical solutions into production with performance, security, scalability, and robust data integration • Familiarity with distributed storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL systems • Experience with data integration technologies such as Spark, Kafka, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, and IICS • Comprehensive SDLC experience covering design, documentation, implementation, testing, and deployment • Expertise in automated data transformation and curation using dbt, Spark, Spark Streaming, and automated pipelines • Experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, and NiFi • Background in Financial Services, preferably banking • Understanding of banking IT compliance requirements and standards • At least 2 of the following certifications: Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, or Professional ML Engineer • 4-year Bachelor's degree in Computer Science or a related field

🏖️ Benefícios

• Health insurance coverage for employees and eligible family members from the first day of employment • Minimum of 15 days Paid Time Off annually • Nine paid company Holidays • Opportunity to grow technical and people skills • Opportunity to lead teams on complex, innovative customer projects • Career growth opportunities • Performance-based cash incentive awards • Innovative environment with cutting-edge technologies • Collaborative culture and knowledge sharing

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