Senior Staff Data Architect Engineer

Location: hirify.global, NY, US; ability to work from Sullivan Park is preferred, while highly qualified candidates may be considered for a remote arrangement. Candidates must be able to work in the United States without current or future immigration sponsorship and meet export-control eligibility requirements.

Salary: $129,143–$177,572 annually for full-time status.

Company

hirify.global develops glass, ceramic, materials-science, optical communications, display, automotive, solar, and life-sciences technologies.

What you will do

• Lead the design and evolution of enterprise data architecture, including conceptual, logical, physical, canonical, and dimensional models.
• Define ingestion, transformation, storage, and serving patterns across cloud and lakehouse platforms.
• Establish standards for data products, pipelines, documentation, versioning, lineage, lifecycle management, and CI/CD reference implementations.
• Partner with engineers, product owners, analysts, governance and security teams, and business stakeholders to translate complex needs into practical designs.
• Embed data quality, access controls, PII handling, compliance, metadata, and governance into models and pipelines.
• Provide technical leadership and mentorship while evaluating lakehouse, data mesh, semantic-layer, streaming, and event-driven approaches.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related technical discipline, or an equivalent combination of education and relevant experience.
• Seven or more years of relevant data and technical experience, including at least four years in a Data Architect, Senior Data Engineer, or comparable data design and architecture role.
• Experience designing enterprise data models for analytics and operational reporting, including dimensional, normalized, data-vault, or comparable approaches.
• Strong hands-on experience designing or guiding end-to-end ETL/ELT pipelines on cloud or modern data platforms.
• Experience with Databricks or another large-scale cloud or lakehouse platform, plus dbt or a comparable data-transformation framework.
• Strong SQL skills and proficiency in Python, Scala, or another data-engineering language.
• Experience with Git, DevOps tooling, and CI/CD practices.
• Ability to work in the United States without current or future immigration sponsorship and meet export-control eligibility requirements.

Nice to have

• Experience with Delta Lake, medallion architecture, data-product design, data lineage, metadata, or cataloging tools.
• Experience with streaming or event-driven architecture using Kafka, Kinesis, or comparable technologies.
• Familiarity with data mesh, domain-oriented architecture, data fabric, semantic layers, or related patterns.
• Experience in manufacturing, R&D, pharmaceutical, financial, or similarly complex data environments.
• Experience working with distributed or international technical teams.

Culture & Benefits

• Full-time role with company-wide bonuses and long-term incentives.
• Company-paid pension contributions and matching 401(k) contributions.
• Medical, dental, vision, paid parental leave, family-building support, fitness benefits, life and disability insurance, paid time off, and an Employee Assistance Program.
• Recognition programs and reasonable accommodation support are available.