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Data Solution Architect Jobs (NOW HIRING)

ACI Infotech

Data Solutions Architect

Enterprise Data Solution Architect Atlanta, GA(Remote) Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications:

Collabera LLC

Solution Architect

Buffalo, NY · On-site

$75 - $80/hr

Data Solution Architect Location: Buffalo, NY 14203 / Remote Duration: 05+ Months Contract Role + Extension Client Domain: Banking / Financial Pay Range: $75/hr. to $80/hr. Direct Notes This posting ...

Chipton Ross

Data Solution Architect 4

Mesa, AZ · On-site

$107.09/hr

Job #218788 Chipton-Ross is seeking a Data Solution Architect 4 for a hybrid (onsite/remote) opportunity in Mesa, AZ. Hybrid - 3 days onsite per week BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE)

United IT

Data Architect BCBSMA

Boston, MA · On-site

$69.25 - $89/hr

Data Solution Architect Deep experience working as a Data Solution Architect with 5+ years AWS Cloud - This is BCBS-MA's platform of choice and the Director is a former AWS employee. 10+ years of ...

Steampunk.com

Lead Data Architect

Principal Data Solution Architect / Lead Data Architect We are seeking a Principal Data Solution Architect / Lead Data Architect to serve as the senior-most technical authority for end-to-end data ...

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Data Solution Architect information

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How much do data solution architect jobs pay per hour?

As of Jun 28, 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.

How much do data architects get paid?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 annually.

What are Data Solution Architects?

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.

Is Solution Architect replaced by AI?

A Data Solution Architect designs and oversees data systems and solutions, and while AI tools can automate certain tasks, they do not replace the need for human expertise in designing complex data architectures. Solution Architects require skills in data modeling, cloud platforms, and stakeholder communication, which are not fully replaceable by AI at this time.

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.

Is Solution Architect a high paying job?

A Solution Architect is typically a well-compensated role in the IT industry, with salaries often above average for technology positions. Compensation depends on experience, industry, and location, and the role often requires strong technical skills, certifications, and experience in designing complex systems.

What does a data solutions architect do?

A data solutions architect designs and implements data management systems to meet organizational needs, focusing on data integration, storage, and security. They evaluate technologies, develop data models, and collaborate with teams to ensure data solutions support business objectives, often using tools like cloud platforms and data pipelines.
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:
Data Solution Architect jobs near you
Infographic showing various Data Solution Architect job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 10% Part Time, 2% Temporary, 3% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $148,157 per year, or $71.2 per hour.
Data Solutions Architect

Data Solutions Architect

ACI Infotech

Remote

Full-time

Posted 28 days ago

Job description

Enterprise Data Solution Architect
Atlanta, GA(Remote)
Full-time role
Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud
JD:
Required Skills & Qualifications:
  • Bachelor's or Master's degree in related field.
  • Experience in data engineering or architecture roles, with working specifically on Azure data solutions.
  • Experience as a Solutions Architect.

Expertise in:
  • Azure Data Factory (ADF) - Pipelines, Dataflows, Integration Runtime
  • Azure Databricks.
  • Proficiency in SQL for querying, data modeling, and tuning.
  • Experience with Python, PySpark, or Scala in Databricks environments.

Preferred / Nice to Have:
  • Hands-on experience with Power BI - developing dashboards, DAX, and data modeling.
  • Strong understanding of data governance, security, and metadata management.

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