Senior Data Architect

accel bi corporation; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

Accel BI Corporation in Seattle seeks a senior data professional to lead enterprise data strategy, governance, and migration for a large-scale modernization program. You will shape data architecture, set standards, and ensure quality, privacy, and security across a complex system of systems.

The ideal candidate has 7+ years in data architecture, migration, and governance, with strong collaboration across business, technical, vendor, and executive stakeholders in cloud-first environments.

Qualifications

• Bachelor's degree in CS/IS/Data Management.
• 7+ years IT, data analysis, data architecture, modernization, or enterprise data environments.
• 5+ years leadership in data architecture, migration, governance, or enterprise data management.
• Experience with enterprise data models, data flows, metadata, lineage, data quality and governance.
• Experience with SQL, NoSQL, APIs, ETL/ELT, cloud data platforms and integration patterns.

Responsibilities

• Lead enterprise data architecture, governance, and/or 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 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.

Skills

Data architecture

Data governance

Data migration

Cloud data platforms

SQL

NoSQL

ETL/ELT

Leadership

Stakeholder communication

Education

Bachelor's degree in CS/IS/Data Management

Tools

Azure

AWS

Google Cloud

Snowflake

Databricks

Job description

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, NoSQL, 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.