Data Architect

🕒 Maio 29

🗽 New York – Remoto

🗽 New York – Remote

💵 $120.000 - $173.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

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Mindex

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1998

☁️ SaaS

📚 Educação

🏢 Corporativo

SaaS • Education • Enterprise

A Mindex é uma empresa líder em desenvolvimento de software com sede em Rochester, NY, reconhecida como a desenvolvedora de software número 1 na região. A empresa se especializa em serviços inovadores de desenvolvimento de software e produtos, incluindo desenvolvimento ágil de pilha completa, serviços profissionais em nuvem e integrações. A Mindex é conhecida por seu produto carro-chefe, o SchoolTool, um abrangente sistema de gestão de alunos K-12 amplamente utilizado por distritos escolares do Estado de Nova York. Como Parceiro Avançado de Serviços da AWS, a Mindex está comprometida em construir soluções mais inteligentes e modernas, com expertise em desenvolvimento em nuvem e modernização de aplicativos. A reputação da empresa é construída na sua capacidade de oferecer tecnologia de ponta e soluções de software para organizações empresariais, posicionando-a como um fornecedor preferencial para clientes do setor privado e público.

Descrição

• Design and implement scalable, high-performance data architectures across cloud and hybrid environments • Define and enforce data modeling standards, including conceptual, logical, and physical data models • Build and optimize enterprise data pipelines and data integration frameworks to support analytics and operational use cases • Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services • Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into robust data solutions • Establish and maintain data governance, data quality, and metadata management frameworks • Ensure data privacy, security, and compliance requirements are met across all platforms and pipelines • Lead architecture decisions for data storage solutions including data lakes, data warehouses, and real-time data processing systems • Optimize performance and cost efficiency of data platforms and workloads • Support Agile delivery frameworks and contribute to sprint planning, backlog grooming, and architectural roadmaps • Implement and oversee CI/CD pipelines and infrastructure-as-code practices for data solutions • Evaluate emerging technologies and recommend solutions to enhance data capabilities

🎯 Requisitos

• BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required • 8+ years of progressive experience in data engineering, data architecture, or related disciplines, including enterprise-scale data solution design • 5+ years of hands-on experience designing and implementing modern data platforms using technologies such as Snowflake, Databricks, Spark, or similar distributed data systems • Strong experience (5+ years) in Python, SQL, PySpark, R, or comparable languages for large-scale data processing and analytics • Proven experience architecting, building, and optimizing complex data pipelines, data ecosystems, and large, multi-source data environments • 3+ years of experience designing and supporting cloud-based data architectures, with a strong preference for Microsoft Azure (e.g., Azure Data Factory, Data Lake, Databricks, Spark, Azure ML, Cosmos DB) • Demonstrated experience leading or influencing architecture decisions and establishing standards for scalable, secure, and high-performing data solutions • Experience implementing data governance, data security, privacy, and compliance frameworks in enterprise environments • Hands-on experience with Agile methodologies and leading technical design within Agile delivery teams • Experience with CI/CD, DevOps, and infrastructure-as-code practices (e.g., Azure DevOps, Terraform, ARM, GitHub Actions, Ansible Tower), including establishing automation and deployment standards • Experience integrating enterprise systems and platforms, including Salesforce FSC and/or Salesforce Data Cloud • Proven ability to mentor engineering teams and influence technical strategy, best practices, and architectural direction

🏖️ Benefícios

• Health insurance • Paid holidays • Flexible time off • 401k retirement savings plan and company match with pre-tax and ROTH options • Dental insurance • Vision insurance • Employer paid disability insurance • Life insurance and AD&D insurance • Employee assistance program • Flexible spending accounts • Health savings account with employer contributions • Accident, critical illness, hospital indemnity, and legal assistance • Adoption assistance • Domestic partner coverage