Data Architect (AI)

TL;DR

Data Architect (AI): Defining and designing target-state data architecture to support analytics, AI enablement, data product development, and lifecycle management with an accent on ensuring scalability, governance, and security of data systems. Focus on modernizing data programs, developing architectural patterns for data quality controls, and supporting AI infrastructure.

Location: Occasional travel required to client sites within the Central Virginia region.

Salary: $210,000 to $250,000 USD per year

Company

hirify.global is a global software engineering firm that specializes in helping clients build innovative solutions.

What you will do

• Define enterprise data architecture for ingestion, modeling, integration, metadata, lineage, and data products.
• Partner with product and IT teams to design data pipelines, canonical data models, and reusable data products.
• Guide design choices in support of modernization programs, including data retention and lifecycle standards.
• Develop architectural patterns for data quality controls, monitoring, and lifecycle management.
• Support ingestion and modeling of critical enterprise datasets across customer, product, operations, finance, and marketing domains.
• Ensure architecture supports AI infrastructure, security requirements, and compliance obligations.

Requirements

• 7+ years of experience in data architecture, data engineering, or enterprise architecture roles.
• Expertise in cloud data platforms, modern data stacks, and event- or API-driven integrations.
• Experience with data governance, metadata management, and data quality frameworks.
• Strong communication skills with the ability to collaborate effectively with senior technical and business stakeholders.

Culture & Benefits

• Vacation: As per the laws of your country.
• Health insurance for you and your loved ones.
• Sick pay: 10 days without a doctor's note, afterwards - as per the laws of your country.
• Time off for state holidays according to the official calendar.
• Pleasant environment with corporate parties and get-togethers for colleagues.
• Comfort service: Solving technical and everyday problems at work.