Data Architect Jobs in Washington
Data Architect jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, enterprise analytics, and public-sector data modernization, with openings from junior data engineer roles through principal and distinguished architect levels. Seattle, Bellevue, and Redmond anchor the hiring market, where Microsoft, Amazon, and Boeing have established deep, ongoing demand for data architecture expertise. The most in-demand specialties are cloud data platform design, data governance, and real-time streaming architecture. Find a role that fits below and apply directly.
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Job Description:
DXC Technology is a leading global technology services provider helping the world's largest enterprises and public sector organizations modernize mission-critical systems, optimize operations, and accelerate innovation through AI, cloud, security, and enterprise technology solutions.
Our Insurance Software and Business Process Solutions (ISB) organization partners with insurers worldwide to transform and manage core insurance operations. By combining deep insurance expertise, market-leading software platforms, and AI-powered solutions, we help clients modernize policy administration, claims, billing, underwriting, and digital engagement across Life & Annuity, Property & Casualty, and Specialty Insurance.
Position Summary
The Data Engineering Lead is responsible for the design, development, governance, and operational excellence of enterprise data platforms, pipelines, and analytics capabilities. This role provides technical leadership for data engineering initiatives while managing a team of engineers responsible for delivering scalable, secure, and reliable data solutions that support business intelligence, AI, machine learning, operational reporting, and digital transformation programs.
The successful candidate combines deep technical expertise with leadership skills to establish enterprise data standards, drive modernization initiatives, implement cloud-native data architectures, and ensure data is treated as a strategic business asset. This individual will partner closely with product management, application engineering, cloud operations, architecture, security, and business leaders to deliver measurable business outcomes.
Key Responsibilities
Data Strategy & Architecture
- Define and drive the enterprise data engineering strategy and roadmap.
- Design scalable data architectures supporting operational, analytical, and AI workloads.
- Establish standards for data modeling, data integration, metadata management, and data lifecycle management.
- Lead modernization efforts from legacy data environments to cloud-native data platforms.
- Ensure alignment with enterprise architecture, cybersecurity, and compliance requirements.
Data Platform Engineering
- Lead the design and implementation of enterprise data platforms utilizing cloud technologies and modern data architectures.
- Develop and maintain high-volume batch, streaming, and event-driven data pipelines.
- Build and manage data lakes, data warehouses, lakehouse architectures, and data products.
- Establish reusable frameworks and accelerators that improve engineering velocity and solution consistency.
- Drive platform automation through Infrastructure-as-Code and DataOps practices.
Leadership & Team Development
- Lead and mentor a team of Data Engineers, Data Architects, and Data Integration specialists.
- Establish engineering best practices and technical standards.
- Provide technical oversight, architecture reviews, and design guidance across projects.
- Foster a culture of innovation, accountability, continuous learning, and operational excellence.
- Support recruitment, onboarding, career development, and performance management activities.
Data Governance & Quality
- Implement enterprise data governance practices.
- Establish data quality frameworks, monitoring, observability, and remediation processes.
- Partner with data stewards and business stakeholders to improve trust in enterprise data assets.
- Ensure compliance with regulatory, privacy, retention, and security requirements.
- Define and monitor KPIs related to data quality, availability, and reliability.
AI & Advanced Analytics Enablement
- Build and optimize data environments that support AI, machine learning, and advanced analytics initiatives.
- Collaborate with data scientists and AI teams to operationalize models and data products.
- Support enterprise AI initiatives through governed, trusted, high-quality data pipelines.
- Establish patterns for feature engineering, model data preparation, and data consumption.
Delivery & Execution
- Manage delivery of multiple concurrent data engineering initiatives.
- Create project plans, estimates, resource forecasts, and delivery commitments.
- Drive agile delivery practices while maintaining governance and quality expectations.
- Identify risks, dependencies, technical debt, and remediation plans.
- Ensure predictable delivery, operational stability, and stakeholder satisfaction.
Stakeholder Engagement
- Work closely with executive leadership to align data investments with business objectives.
- Partner with engineering, product management, operations, and business teams to prioritize initiatives.
- Present technical recommendations, investment strategies, and progress updates to leadership audiences.
- Act as a trusted advisor for enterprise data strategy and modernization initiatives.
Required Qualifications
Education
- High school diploma or GED (required).
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science (Preferred).
- Master's degree preferred.
Experience
- 10+ years of experience in Data Engineering, Data Architecture, or related technology disciplines.
- 3+ years leading technical teams or enterprise-scale data initiatives.
- Demonstrated experience designing and delivering enterprise data platforms.
- Experience leading cross-functional teams in global delivery environments.
Technical Expertise
Strong experience in multiple areas including:
- SQL and advanced database technologies
- Python, Spark, Scala, or similar data engineering technologies
- ETL and ELT frameworks
- Data Lakes, Lakehouse, and Data Warehouse architectures
- Cloud platforms (Azure, AWS, or Google Cloud)
- Databricks, Snowflake, Synapse, Redshift, BigQuery, or equivalent technologies
- Real-time data processing and streaming architectures
- API-based integration and event-driven architectures
- CI/CD, DataOps, Infrastructure-as-Code, and automation practices
Preferred Qualifications
- Insurance industry experience.
- Experience supporting AI, Machine Learning, and Generative AI initiatives.
- Experience implementing enterprise data governance programs.
- Success leading large-scale cloud migration or data modernization programs.
- Experience with observability, operational monitoring, and reliability engineering.
Leadership Competencies
- Strategic Thinking
- Technical Leadership
- Decision Making
- Stakeholder Management
- Talent Development
- Executive Communication
- Continuous Improvement Mindset
- Customer Focus
- Results Orientation
- Cross-Functional Collaboration
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
If you are an applicant from the United States, Guam, or Puerto Rico
DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below .
We participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for the Federal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.
Postings Link
Disability Accommodations
If you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us via email.
Please note: DXC will respond only to requests for accommodations due to a disability.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Job Description:
DXC Technology is a leading global technology services provider helping the world's largest enterprises and public sector organizations modernize mission-critical systems, optimize operations, and accelerate innovation through AI, cloud, security, and enterprise technology solutions.
Our Insurance Software and Business Process Solutions (ISB) organization partners with insurers worldwide to transform and manage core insurance operations. By combining deep insurance expertise, market-leading software platforms, and AI-powered solutions, we help clients modernize policy administration, claims, billing, underwriting, and digital engagement across Life & Annuity, Property & Casualty, and Specialty Insurance.
Position Summary
The Data Engineering Lead is responsible for the design, development, governance, and operational excellence of enterprise data platforms, pipelines, and analytics capabilities. This role provides technical leadership for data engineering initiatives while managing a team of engineers responsible for delivering scalable, secure, and reliable data solutions that support business intelligence, AI, machine learning, operational reporting, and digital transformation programs.
The successful candidate combines deep technical expertise with leadership skills to establish enterprise data standards, drive modernization initiatives, implement cloud-native data architectures, and ensure data is treated as a strategic business asset. This individual will partner closely with product management, application engineering, cloud operations, architecture, security, and business leaders to deliver measurable business outcomes.
Key Responsibilities
Data Strategy & Architecture
- Define and drive the enterprise data engineering strategy and roadmap.
- Design scalable data architectures supporting operational, analytical, and AI workloads.
- Establish standards for data modeling, data integration, metadata management, and data lifecycle management.
- Lead modernization efforts from legacy data environments to cloud-native data platforms.
- Ensure alignment with enterprise architecture, cybersecurity, and compliance requirements.
Data Platform Engineering
- Lead the design and implementation of enterprise data platforms utilizing cloud technologies and modern data architectures.
- Develop and maintain high-volume batch, streaming, and event-driven data pipelines.
- Build and manage data lakes, data warehouses, lakehouse architectures, and data products.
- Establish reusable frameworks and accelerators that improve engineering velocity and solution consistency.
- Drive platform automation through Infrastructure-as-Code and DataOps practices.
Leadership & Team Development
- Lead and mentor a team of Data Engineers, Data Architects, and Data Integration specialists.
- Establish engineering best practices and technical standards.
- Provide technical oversight, architecture reviews, and design guidance across projects.
- Foster a culture of innovation, accountability, continuous learning, and operational excellence.
- Support recruitment, onboarding, career development, and performance management activities.
Data Governance & Quality
- Implement enterprise data governance practices.
- Establish data quality frameworks, monitoring, observability, and remediation processes.
- Partner with data stewards and business stakeholders to improve trust in enterprise data assets.
- Ensure compliance with regulatory, privacy, retention, and security requirements.
- Define and monitor KPIs related to data quality, availability, and reliability.
AI & Advanced Analytics Enablement
- Build and optimize data environments that support AI, machine learning, and advanced analytics initiatives.
- Collaborate with data scientists and AI teams to operationalize models and data products.
- Support enterprise AI initiatives through governed, trusted, high-quality data pipelines.
- Establish patterns for feature engineering, model data preparation, and data consumption.
Delivery & Execution
- Manage delivery of multiple concurrent data engineering initiatives.
- Create project plans, estimates, resource forecasts, and delivery commitments.
- Drive agile delivery practices while maintaining governance and quality expectations.
- Identify risks, dependencies, technical debt, and remediation plans.
- Ensure predictable delivery, operational stability, and stakeholder satisfaction.
Stakeholder Engagement
- Work closely with executive leadership to align data investments with business objectives.
- Partner with engineering, product management, operations, and business teams to prioritize initiatives.
- Present technical recommendations, investment strategies, and progress updates to leadership audiences.
- Act as a trusted advisor for enterprise data strategy and modernization initiatives.
Required Qualifications
Education
- High school diploma or GED (required).
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science (Preferred).
- Master's degree preferred.
Experience
- 10+ years of experience in Data Engineering, Data Architecture, or related technology disciplines.
- 3+ years leading technical teams or enterprise-scale data initiatives.
- Demonstrated experience designing and delivering enterprise data platforms.
- Experience leading cross-functional teams in global delivery environments.
Technical Expertise
Strong experience in multiple areas including:
- SQL and advanced database technologies
- Python, Spark, Scala, or similar data engineering technologies
- ETL and ELT frameworks
- Data Lakes, Lakehouse, and Data Warehouse architectures
- Cloud platforms (Azure, AWS, or Google Cloud)
- Databricks, Snowflake, Synapse, Redshift, BigQuery, or equivalent technologies
- Real-time data processing and streaming architectures
- API-based integration and event-driven architectures
- CI/CD, DataOps, Infrastructure-as-Code, and automation practices
Preferred Qualifications
- Insurance industry experience.
- Experience supporting AI, Machine Learning, and Generative AI initiatives.
- Experience implementing enterprise data governance programs.
- Success leading large-scale cloud migration or data modernization programs.
- Experience with observability, operational monitoring, and reliability engineering.
Leadership Competencies
- Strategic Thinking
- Technical Leadership
- Decision Making
- Stakeholder Management
- Talent Development
- Executive Communication
- Continuous Improvement Mindset
- Customer Focus
- Results Orientation
- Cross-Functional Collaboration
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
If you are an applicant from the United States, Guam, or Puerto Rico
DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below .
We participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for the Federal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.
Postings Link
Disability Accommodations
If you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us via email.
Please note: DXC will respond only to requests for accommodations due to a disability.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
See All 21 Data Architect Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Architect JobsData Architect Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Architect Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Staffing & Recruiting
- Technology & Software
What Washington Employers Look For
The qualifications that appear most often in data architect jobs across Washington.
- Bachelor's or master's degree in computer science, information systems, or a related field
- Proficiency in cloud data platforms such as Azure, AWS, or Google Cloud
- Experience designing and implementing enterprise data warehouses or data lake architectures
- Strong command of SQL and at least one scripting language such as Python or Scala
- Hands-on experience with data modeling tools and methodologies including dimensional and conceptual modeling
- Familiarity with data governance frameworks and enterprise metadata management practices
Data Architect Jobs in Washington: Frequently Asked Questions
How do you become a data architect in Washington?
Most data architects in Washington enter through a computer science, information systems, or engineering degree followed by several years in data engineering or database administration roles. Washington does not require a state-issued license for this role. Employers here commonly look for cloud certifications such as Microsoft Azure Data Engineer Associate or AWS Certified Data Analytics, which align closely with the dominant technology stacks used by Washington's large tech employers. A strong portfolio of architecture designs accelerates hiring significantly.
Which companies hire data architects in Washington?
Employers hiring data architects in Washington right now include EY, Avanade, and Microsoft, based on current listings on Migrate Mate as of November 2026. Washington's concentration of cloud-native technology companies and large federal contractors means demand here is particularly consistent for architects with enterprise-scale and public-sector data experience.
Which Washington cities have the most data architect jobs?
Seattle, Redmond, and Bellevue have the most data architect openings in Washington. Seattle and Bellevue drive the majority of listings due to the dense cluster of major technology headquarters and cloud-focused enterprises in the greater Puget Sound region, while Redmond anchors a significant share of demand through Microsoft's sprawling campus operations.
Are there remote data architect jobs in Washington?
Yes, and more than most fields. About 57% of data architect openings tied to Washington are remote or hybrid as of November 2026, reflecting the desk-based, highly portable nature of architecture and design work. The portions of the role most commonly offered remotely are solution design, documentation, and stakeholder consulting, while on-site presence is more often required during initial platform build-outs or major migration projects.
How can I get hired as a data architect in Washington with little or no experience?
The most realistic path is moving into a data architect role from a data engineer or database developer position, since those roles provide the hands-on platform and modeling experience Washington employers screen for. Large Washington technology companies and state-agency IT departments regularly hire entry-level data engineers and business intelligence developers who can grow toward architecture work. Earning a cloud data certification such as Microsoft Azure Data Engineer Associate strengthens applications considerably, and contributing to open-source data tooling projects builds a visible portfolio that compensates for limited professional history.
Where can I find and apply to data architect jobs in Washington?
You can find and apply to data architect jobs in Washington on Migrate Mate, which lists current Washington openings across industries and experience levels. Search the listings, find roles that fit your background and preferences, and apply directly to the employers posting them.
See All 21 Data Architect Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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