Enterprise Data Architect

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Define the target-state architecture for enterprise data platforms across ingestion, storage, processing, governance, and consumption layers.
• Establish standards for data modeling, schema evolution, partitioning, file formats, storage organization, and data lifecycle management.
• Architect lakehouse, warehouse, and streaming solutions using platforms such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, and Hudi.
• Design production-scale batch and streaming pipelines that balance latency, cost, reliability, and maintainability.
• Integrate governance, lineage, catalog, security, masking, encryption, and identity-aware access capabilities.
• Lead architecture reviews, platform cost optimization, capacity planning, disaster recovery, and high-availability initiatives while mentoring engineers and architects.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• At least 8 years of data engineering experience, including significant architecture experience.
• Deep expertise with at least two major data platforms, such as Snowflake, Databricks, BigQuery, or Redshift.
• Strong knowledge of lakehouse architectures, modern table formats, streaming systems, and data modeling patterns.
• Production-scale experience with Spark, Flink, or Kafka, plus experience implementing governance, lineage, and catalog capabilities.
• Applicants must be U.S. Citizens, Green Card Holders, EAD Holders, or H-1B transfer candidates; new H-1B petitions cannot be sponsored.

Nice to have

• Experience with data mesh or data product architectures.
• Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
• Exposure to regulated industries with data residency or audit requirements.
• Cloud or platform certifications and public talks or writing on data architecture.

Culture & Benefits

• Full-time direct W-2 employment.
• Opportunity for career growth within an established organization.
• Collaboration with data engineering, analytics, ML, product, and business stakeholders.