Data Architect

🕒 vor 1 Monat

🗽 New York – Remote

🗽 New York – Remote

💵 $120.000 - $173.000 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

🚰 Dateningenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Mindex

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 1998

☁️ SaaS

📚 Bildung

🏢 Unternehmen

SaaS • Education • Enterprise

Mindex ist ein führendes Softwareentwicklungsunternehmen mit Sitz in Rochester, NY, das als der führende Softwareentwickler in der Region anerkannt ist. Das Unternehmen ist auf innovative Software- und Produktentwicklungsdienstleistungen spezialisiert, einschließlich Full-Stack-Agile-Entwicklung, Cloud-Professional-Services und Integrationen. Mindex ist bekannt für sein Flaggschiffprodukt SchoolTool, ein umfassendes K-12-Schülerverwaltungssystem, das von Schulbezirken im Staat New York weit verbreitet ist. Als AWS Advanced Services Partner engagiert sich Mindex dafür, durch Fachwissen in Cloud-Entwicklung und Anwendungsmodernisierung intelligentere, moderne Lösungen zu entwickeln. Der Ruf des Unternehmens basiert auf seiner Fähigkeit, modernste Technologie- und Softwarelösungen für Unternehmensorganisationen zu liefern, was es zu einem bevorzugten Anbieter sowohl für private als auch öffentliche Sektoren macht.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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