1

Data Solution Architect Jobs (NOW HIRING)

Solution Architect

Dallas, TX ยท On-site

$62.50 - $82.50/hr

Data Solution Architect Location: Dallas TX - Onsite Minimum 20+ years of experience/ Pharmacy Benefit Management (PBM) - must Job Details below: We are seeking a highly experienced Solution ...

Data Solutions Architect

Emeryville, CA ยท On-site

$140K - $155K/yr

The Data Solution Architect will help define strategy both within and outside of SAP, drive design and technical implementation, and architect innovative solutions in close collaboration with the ...

Solution Architect

Princeton, NJ

$66 - $87/hr

To further strengthen our digital capabilities, Munich Re continues to invest strategically in IT and data platforms. The position Solution Architect is a high-impact position within our global ...

Solution Architect

Princeton, NJ ยท On-site

$66 - $87/hr

To further strengthen our digital capabilities, Munich Re continues to invest strategically in IT and data platforms. The position Solution Architect is a high-impact position within our global ...

Solution Architect

Princeton, NJ ยท On-site

$66 - $87/hr

To further strengthen our digital capabilities, Munich Re continues to invest strategically in IT and data platforms. The position Solution Architect is a high-impact position within our global ...

Showing results 41-60

Data Solution Architect information

See salary details

$11

$71

$94

How much do data solution architect jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data solution architect in the United States is $71.23, according to ZipRecruiter salary data. Most workers in this role earn between $64.90 and $80.05 per hour, depending on experience, location, and employer.

What is a data solution architect?

Data Solution Architects are professionals who design and implement data management and analytics solutions for organizations. They are responsible for creating the architecture that allows businesses to collect, store, process, and analyze large amounts of data effectively and securely. Their work involves selecting appropriate technologies, ensuring data quality, integrating systems, and aligning solutions with business goals. They often collaborate with stakeholders, developers, and data engineers to deliver scalable and reliable data platforms.

How does a data solution architect typically collaborate with cross-functional teams during a project?

A Data Solution Architect regularly works alongside business analysts, data engineers, software developers, and project managers to design and implement scalable data solutions. They act as a bridge between technical and non-technical stakeholders, ensuring that business requirements are accurately translated into technical specifications. Throughout the project lifecycle, they lead architectural decision-making, provide guidance on data modeling, and review system integration points to maintain consistency and performance. Effective communication and a collaborative mindset are essential for success in this role.

What are the key skills and qualifications needed to thrive as a data solution architect, and why are they important?

To thrive as a Data Solution Architect, you need expertise in data modeling, database design, and analytics, often supported by a degree in computer science or related fields. Proficiency with cloud platforms (such as AWS, Azure, or Google Cloud), data integration tools, and certifications like AWS Certified Solutions Architect are typically required. Strong communication, problem-solving, and stakeholder management skills help you bridge technical and business requirements. These capabilities are crucial for designing scalable, secure, and effective data solutions that meet organizational goals.

What is the difference between Data Solution Architect vs Data Engineer?

AspectData Solution ArchitectData Engineer
Required CredentialsBachelor's/Master's in CS, certifications like AWS, Azure, or GCPBachelor's/Master's in CS, certifications like AWS, Azure, or GCP
Work EnvironmentDesigns data solutions, collaborates with stakeholders, oversees architectureBuilds, maintains, and optimizes data pipelines and infrastructure
Employer & Industry UsageUsed in organizations needing data architecture design, often in tech, finance, healthcareUsed in organizations managing large-scale data processing, in tech, retail, finance

The Data Solution Architect and Data Engineer roles share similar credentials and industry usage. However, the architect focuses on designing data solutions and overseeing architecture, while the engineer implements and maintains data pipelines. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How much do data solution architects make in the US?

Data Solution Architects in the US typically earn between $100,000 and $160,000 annually, with salaries varying based on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data management tools can earn higher compensation, often exceeding $180,000 per year.

How much does a data solution architect get paid?

Data Solution Architects typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data management tools may offer higher salaries. Certifications like AWS or Azure can also influence compensation levels.

Is a data solution architect a stressful job?

A data solution architect role can be stressful due to project deadlines, complex technical challenges, and the need to align data strategies with business goals. The job often requires strong problem-solving skills, attention to detail, and the ability to manage multiple priorities, which can contribute to work-related stress.

What does a data solution architect do?

A data solution architect designs and implements data management systems and architectures to meet organizational needs. They analyze data requirements, select appropriate tools and technologies, and ensure data security and compliance, often working with cloud platforms and data modeling techniques.
More about Data Solution Architect jobs

What cities are hiring for Data Solution Architect jobs?

Cities with the most Data Solution Architect job openings:

What states have the most Data Solution Architect jobs?

States with the most job openings for Data Solution Architect jobs include:

What are popular job titles related to Data Solution Architect jobs?

For Data Solution Architect jobs, the most frequently searched job titles are:

Infographic showing various Data Solution Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $148,157 per year, or $71.2 per hour.

Data Solution Architect with Security Clearance

steampunk

Fairfax, VA โ€ข On-site

$140K - $180K/yr

Other

Re-posted 8 days ago


Job description

Overview We are looking for a seasoned Data Solution Architect to work with our team and our clients to develop enterprise grade data platforms, services, pipelines, data models, visualizations, and more! The Data Solution Architect needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science. Contributions * Design greenfield data solution stacks in cloud and on-premises environments using modern data services, technologies, products, and industry best practices. * Lead and architect the migration of legacy data environments to ensure performance and reliability. * Assess data sources, data models, schemas, and data workflows to define scalable and maintainable enterprise data architectures. * Assess existing ETL jobs, data pipelines, workflows, BI tools, and reporting solutions to develop scalable modernization strategies and enterprise data solutions. * Address technical inquiries concerning customization, integration, enterprise architecture, and the general functionality of data products. * Design enterprise database, data warehouse, and lakehouse solutions using Databricks across AWS, Azure, or GCP environments. * Support an Agile software development lifecycle through architectural guidance and collaboration with cross-functional teams. * You will contribute to the growth of our Data Exploitation Practice! Qualifications * Ability to hold a position of public trust with the U.S. Government. * Experience supporting military data programs or holding a previous or active U.S. Government security clearance is preferred. * 12+ years of experience with a Bachelor's degree or 8+ years of experience with a Master's degree. * 8-12 years of industry experience in data engineering with a passion for solving complex problems. * 8-12 years of direct experience in Data Engineering with demonstrated experience in the following: * Designing and building data pipelines and data products on modern lakehouse platforms (e.g., Databricks, Apache Spark), including Delta Lake, distributed processing, and performance optimization. * Supporting or integrating GenAI/ML workflows (e.g., feature engineering, vector storage, RAW pipelines, or model lifecycle using tools such as MLflow). * Operating in enterprise or regulated cloud environments, including working within platform constraints, security controls, and data governance frameworks. * Building batch and streaming data pipelines using distributed processing frameworks (e.g., Apache Spark Structured Streaming) within a lakehouse architecture. * Implementing search and retrieval patterns for analytics or AI use cases (e.g., indexing, semantic search, vector-based retrieval). * Advanced proficiency in SQL and Python for data engineering, including query authoring, optimization, relational databases, and distributed data processing frameworks (e.g., Apache Spark). * Strong ability to lead technical discussions with technical and non-technical stakeholders, translating business needs into actionable data solutions, communicating tradeoffs, driving alignment, and guiding decision-making. * Demonstrated ability to evaluate solution feasibility, identify risks and constraints, and make pragmatic recommendations in complex or ambiguous environments. * Experience constructing complex queries to analyze results using databases or data processing development environments. * Experience architecting enterprise database, data warehouse, and lakehouse solutions. * Experience aggregating results and compiling information for reporting from multiple datasets. * Experience working in an Agile environment. * Experience providing technical leadership to cross-functional teams of developers and data scientists building web-based interfaces, dashboards, reports, analytics, and machine learning solutions. About steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.