Senior Data Architect

We are hiring a senior data professional to support enterprise data strategy, data migration, and data governance activities for a large-scale public sector modernization program. This role will help guide data architecture, migration planning, governance standards, data quality, metadata, lineage, security, and compliance across a complex system-of-systems environment.
The ideal candidate has strong experience leading enterprise data initiatives, working with legacy modernization programs, and collaborating with business, technical, vendor, and executive stakeholders.

Key Responsibilities

• Lead enterprise data architecture, data governance, and/or data migration efforts.
• Support modernization of legacy data environments into cloud-first platforms.
• Define data standards, data models, metadata, lineage, and governance processes.
• Lead or support data profiling, mapping, cleansing, transformation, validation, reconciliation, and migration readiness.
• Embed privacy, security, regulatory compliance, and data quality controls into data designs and processes.
• Collaborate with state agency stakeholders, vendors, architects, cybersecurity teams, analysts, and program leadership.
• Prepare data architecture documentation, migration plans, governance artifacts, runbooks, scorecards, and executive-ready materials.
• Support Agile ceremonies, design reviews, risk discussions, and program planning activities.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field.
• 7+ years of experience in IT, data analysis, data architecture, system modernization, or enterprise data environments.
• 5+ years of hands-on leadership in data architecture, data migration, data governance, or enterprise data management.
• Experience with enterprise data models, data flows, metadata, lineage, data quality, and governance practices.
• Experience with SQL, No
  
  SQL, APIs, ETL/ELT, cloud data platforms, and integration patterns.
• Experience supporting large-scale data migration or modernization projects.
• Working knowledge of privacy, security, compliance, and data protection requirements.
• Strong communication skills with the ability to explain complex technical topics to non-technical audiences.

Preferred Qualifications

• Experience with public sector, healthcare, insurance, workers' compensation, or regulated data environments.
• Experience with Azure, AWS, Google Cloud, Snowflake, Databricks, or similar data platforms.
• Certifications such as CDMP, Azure Data Engineer, Snowflake, or Google Professional Data Engineer.
• Experience with Master Data Management, data stewardship, enterprise governance, or data quality tooling.
• Experience working in Agile or hybrid delivery environments.

Location Seattle WA

Experience 7+ years of experience in IT analysis, data analysis, system maintenance, troubleshooting, or enterprise-level data environments.
5+ years of hands-on data leadership in one or more of the following areas:

• Enterprise data architecture
• Data migration
• Data governance
• Data quality management
• Master Data Management

Experience supporting large-scale modernization or data transformation programs, preferably involving legacy systems.

Experience with enterprise data models, data flows, metadata, data lineage, and data governance standards.
Experience with data migration activities, including:

• Data profiling
• Source-to-target mapping
• Data cleansing
• Transformation
• Validation
• Reconciliation
• Conversion readiness

Experience with data integration patterns, including APIs, ETL/ELT workflows, messaging frameworks, event-driven pipelines, and service-oriented architectures.
Hands-on experience with SQL, No

SQL, and cloud data technologies.

Experience with at least one major cloud ecosystem such as Azure, AWS, or Google Cloud, including data storage, processing, security, and platform services.
Working knowledge of regulatory data requirements, privacy standards, data protection, and security controls.
Experience applying Zero Trust principles, encryption standards, authentication, authorization, and access control to data solutions.

Experience with the full data lifecycle, including ingestion, storage, transformation, integration, consumption, archival, retention, and destruction.
Experience preparing or maintaining data architecture documents, migration runbooks, mapping sheets, data dictionaries, lineage diagrams, governance artifacts, and quality scorecards.
Experience working with business stakeholders, technical teams,…