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Data Architect Data Jobs (NOW HIRING)

Data Architect (Data Platform)

Portland, OR

$67.50 - $87/hr

Data Architect (Data Platform) Job Summary: As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data ...

Data Architect (Data Platform)

Boston, MA

$69.25 - $89/hr

Data Architect (Data Platform) Job Summary: As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data ...

Data Architect (Data Platform)

Portland, OR · On-site

$67.50 - $87/hr

Data Architect (Data Platform) Job Summary: As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data ...

Data Architect (Data Platform)

Portland, OR · On-site

$67.50 - $87/hr

Data Architect (Data Platform) As a Data Architect for healthcare applications, you are responsible for innovating, designing, and managing scalable, secure, and interoperable data systems that ...

Data Architect

Ewing Township, NJ · On-site

$61.25 - $78.75/hr

Data Architect (Data Strategy, Azure, PySpark, Snowflake) Location: Ewing NJ 08618 (100% Onsite) Long term contract Expectation is we need a Data Architect with strong experience in data strategy ...

Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Job Summary We are seeking an accomplished Data Architect / Data Engineering Lead with 15+ years of experience in designing and implementing robust, scalable, and secure data architectures. The ideal ...

Position Summary Provide data architecture/engineering support to the U.S. Army Combat Capabilities Development Command - Armaments Center (DEVCOM-AC) Headquarters and its subordinate directorates ...

Data Architect

Los Angeles, CA

$68.75 - $88.25/hr

We are looking for a Data Architect to build, optimize and maintain conceptual and logical database models. For this role, you should know how to analyze system requirements and implement migration ...

Data Architect

Charlotte, NC · On-site

$80 - $87.50/hr

Data Architect The Data Architect is responsible for defining the structure, standards, and architectural guardrails that govern service and configuration data within the Service-Aware Operating ...

Data Architect

Sacramento, CA · On-site

$59 - $76/hr

Data Architect Loc: Sacramento, CA - Hybrid Role Duration: 12+ months Note: Candidate should have Healthcare Public Sector Experience. Local to Sacramento Candidate Preferred. Role Overview We are ...

Data Architect

Atlanta, GA · On-site

$120 - $130/hr

Data Architect NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking ...

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Data Architect Data Architect Austin, TX / New York City/ San Diego(CA)/ Fort MIl (SC) [Hybrid] Key Responsibilities: Architect and design data-driven solutions for large-scale applications within ...

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

The Data Architect should understand the system development life cycle; software project management approaches; and requirements, design, and test techniques. The Data Architect is asked to ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

The Data Architect should understand the system development life cycle; software project management approaches; and requirements, design, and test techniques. The Data Architect is asked to ...

Data Architect

Boca Raton, FL · On-site

$60.25 - $77.50/hr

As a Data Architect I, you will be responsible designing, building, and optimizing data solutions and end to end data integrations across the ADT ecosystem. You will work closely with product ...

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Data Architect Data information

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$10

$69

$94

How much do data architect data jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for data architect data in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

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

AspectData Architect DataData Engineer
CredentialsTypically requires a bachelor's degree in computer science, data management, or related fields; certifications like CDMP or AWS Certified Data AnalyticsSimilar credentials; often holds degrees in computer science or software engineering; certifications like Google Cloud Professional Data Engineer
Work EnvironmentDesigns data systems, works on architecture planning, collaborates with stakeholdersBuilds and maintains data pipelines, implements data solutions, works closely with Data Architects
Industry UsageUsed across industries for designing enterprise data systemsCommonly employed in data pipeline development and data processing tasks

Data Architects Data focus on designing the overall data infrastructure and architecture, while Data Engineers implement and maintain the data pipelines and systems based on that architecture. Both roles are essential and often collaborate closely in data management projects.

More about Data Architect Data jobs
What cities are hiring for Data Architect Data jobs? Cities with the most Data Architect Data job openings:
What states have the most Data Architect Data jobs? States with the most job openings for Data Architect Data jobs include:
Infographic showing various Data Architect Data job openings in the United States as of June 2026, with employment types broken down into 17% As Needed, and 83% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.
Data Architect (Data Platform)

Data Architect (Data Platform)

RevSpring Inc

Portland, OR

$67.50 - $87/hr

Full-time

Posted 11 hours ago


Job description

Job Title: Data Architect (Data Platform)
Job Summary:
As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support clinical, operational, and financial workflows. This role focuses on structuring complex healthcare data from electronic health records (EHRs) to healthcare financial data into cohesive architectures that enable accurate reporting, analytics, and patient care insights. This role will ensure compliance with healthcare regulations such as HIPAA, implement industry standards like HL7 and FHIR for seamless data exchange, and establish strong data governance, quality, and security practices such as HITRUST. By aligning data strategy with organizational goals, this role plays a critical part in improving data accessibility, reliability, and ultimately patient outcomes.
Data Modeling amp; Design
You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake schemas), and designing for scalability and performance.
Database amp; Storage Expertise
Deep knowledge of both relational and non-relational systems is critical. This also means familiarity with data lakes, lakehouses, and distributed storage systems/warehouses (e.g., S3, Delta Lake, BigQuery)
Data Integration
Designing pipelines that move and transform data reliably. This includes experience with ETL/ELT tools (DBT), streaming systems (Kafka, Kinesis), and orchestration frameworks (Airflow, etc.) with the ability to understand batch vs. real-time tradeoffs
Performance Optimization
Indexing strategies, partitioning, query tuning, and workload. The ability to architect for scale, resiliency and business continuity.
Strategic Thinking
Beyond solving today’s problems, you will define our data strategy including:
  • Define what the future data architecture should look like
  • Determine how and where to reduce technical debt
  • Identify how to enable analytics insights, incorporate AI, and drive self-service?
Artificial Intelligence (AI)
  • Define and evolve data architectures that support AI/ML workloads, including curated training datasets, feature stores, and scalable pipelines for batch and real-time inference
  • Define and evolve data architectures that leverage AI to drive greater operational efficiency, reduce system complexity, and accelerate the ingestion and processing of healthcare data across platforms
  • Design scalable pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data availability for AI-driven insights and real-time decision support
Minimum Requirements:
Specific Job Skills:
  • 12+ years of software engineering experience, including hands-on technical experience building, maintaining and scaling data systems.
  • 5+ years of experience as a tech lead who successfully converts business / product requirements into well architecture designs.
  • Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL.
  • Extensive experience in building and driving large business outcomes by leveraging a combination of existing and new technologies.
  • A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage.
  • A deep knowledge in cloud platforms such as AWS, GCP, or Azure, and cloud-native API solutions.
  • Deep knowledge of data modeling and data governance control
  • Strong RESTful API design principle, microservices architecture, distributed asynchronous system and good design patterns
  • Strong knowledge with CI/CD pipelines (CircleCI, Github Action), containerization (Docker, Kubernetes), and version control (Git), infrastructure as code (Pulumi, Terraform), Relational and NoSQL databases, caching mechanisms (Redis, Memcached), and performance optimization techniques.
  • Strong leadership and communication skills, with the ability to influence cross-functional teams and communicate complex technical details to upper management and non-technical stakeholders.
  • Proven problem-solving ability with a focus on delivering solutions
  • Positive attitude: Maintaining a constructive approach to work challenges.
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.