Senior Staff Data Architect (Data Engineering)

Location: Home Office, Olympia, Washington, United States; the posting also references a Home Office role in New Jersey and remote work.

Salary: $139,700–$212,850 base annually; the description also states a base salary range of $150,000–$210,000 plus bonus.

Company

hirify.global provides cloud-first networking and cybersecurity solutions used by enterprises and Fortune 500 companies.

What you will do

• Build and maintain reliable ELT/ETL pipelines from enterprise systems such as Salesforce, Oracle Fusion, Marketo, and Zuora into data lakes and warehouses.
• Develop bronze, silver, and gold data models using dimensional, normalized, and data vault patterns.
• Implement data quality checks, monitoring, alerting, logging, SLAs, and pipeline anomaly detection.
• Maintain dbt transformation models, documentation, testing, lineage, and certified data assets.
• Enforce governance standards covering metadata, access controls, masking, retention, and compliance.
• Collaborate with Analytics Engineers, BI Developers, and business stakeholders to deliver performant semantic-layer objects and reporting views.

Requirements

• 10+ years of experience in data engineering, analytics engineering, or a related discipline.
• Strong production experience with SQL and Python.
• Experience with cloud data warehouses such as Databricks, Redshift, Snowflake, or equivalent; dbt, Airflow, and ELT tools such as Fivetran or AWS Glue.
• Experience integrating SaaS enterprise applications through REST APIs, CDC, or batch processing.
• Knowledge of data modeling, data lineage, metadata management, data quality frameworks, RBAC, and access reviews.
• BS/BA in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.

Nice to have

• Experience preparing datasets for machine learning, using AI coding assistants, or implementing automated anomaly detection.
• Experience working in Agile environments and communicating with technical and non-technical stakeholders.

Culture & Benefits

• Flexible work options with health coverage and generous paid time off.
• Learning opportunities, career mobility programs, and leadership workshops.
• Paid volunteer time, employee resource groups, and a collaboration-focused workplace policy.
• Performance-based compensation, charitable giving with company matching, and modern office amenities.

Hiring process

• Initial onboarding includes connecting with mentors, mapping systems, meeting stakeholders, and setting short- and long-term goals.
• The role includes defined six-month and one-year delivery milestones covering pipeline ownership, data quality, documentation, and platform improvements.