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Data Architect Jobs (NOW HIRING)

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

The Data Architect will lead the strategic design and implementation of data architecture for IntelliTrans' Transportation Management Systems (TMS) platform and products. This senior role is ...

Data Architect

Iselin, NJ · On-site

$64.75 - $83.25/hr

Enterprise Data Architect - M&A Integration Overview / Summary The Data Architect will own the target-state data architecture for the combined organization. Working directly from the outputs of the ...

Data Architect

Fond Du Lac, WI · On-site

$100 - $130/hr

The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous ...

Data Architect

Winter Park, FL · On-site

$59.75 - $77/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

Wayne, PA · On-site

$57.75 - $74.25/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

Jersey City, NJ · On-site

$66.50 - $85.50/hr

Data Architect Duration: 9+ Months (Extendable) Location: Jersey City, NJ * Data architect * 5+ years of financial domain experience in Funds, securities * Business intelligence architect/data ...

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Data Architect Location : 4 days in office in Topeka, 1 day remote Type : Perm Role: The Data Architect is responsible for establishing and evolving the organization's data architecture using ...

Data Architect

Naperville, IL · On-site

$63.75 - $82/hr

Data Architect Location : Naperville, IL Term : C2C/W2 Job Summary We are seeking an experienced Data Architect to design, implement, and govern enterprise data architecture that supports business ...

Data Architect

Parsippany, NJ · On-site

$64 - $82.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

Miami, FL · On-site

$61 - $78.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

Rochester, NY · On-site

$63.25 - $81.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

Portsmouth, NH

$65 - $83.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Cloud Data Architect We are always looking to connect with top talent! We are seeking a skilled and collaborative Cloud Data Architect to help drive ongoing data modernization efforts. This role is ...

Data Architect

Tampa, FL · On-site

$167 - $195/hr

The Data Architect is a strategic, hands-on leader responsible for designing, governing, and advancing the firm's data architecture. This role will assess the current data landscape, establish modern ...

New

Data Architect

Topeka, KS · Hybrid

$60 - $77.25/hr

Data Architect Location: 4 days in office in Topeka, 1 day remote Type: Perm Role: The Data Architect is responsible for establishing and evolving the organization's data architecture using ...

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Data Architect Location : 4 days in office in Topeka, 1 day remote Type : Perm Role: The Data Architect is responsible for establishing and evolving the organization's data architecture using ...

Data Architect

Topeka, KS · Hybrid

$131K - $177K/yr

Data Architect Location : 4 days in office in Topeka, 1 day remote Type : Perm Role: The Data Architect is responsible for establishing and evolving the organization's data architecture using ...

Data Architect

Philadelphia, PA · On-site

$64.25 - $82.75/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Showing results 41-60

DATA Architect information

See salary details

$10

$69

$94

How much do data architect jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data architect 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 do you do as a data architect?

A data architect designs, creates, and manages an organization’s data infrastructure, including data models, databases, and data integration systems. They ensure data is stored securely, efficiently, and is accessible for analysis and decision-making, often using tools like SQL, cloud platforms, and data modeling software.

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

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

Is a data architect in demand?

Yes, data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in database design, data modeling, and tools like SQL and cloud platforms, making their skills valuable across many industries.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.

How does a data architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

What is a data architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

What cities are hiring for Data Architect jobs? Cities with the most Data Architect job openings:
What are the most commonly searched types of Data Architect jobs? The most popular types of Data Architect jobs are:
Who are the top companies hiring for Data Architect jobs? The top employers for Data Architect jobs are:
What states have the most Data Architect jobs? States with the most job openings for Data Architect jobs include:
Infographic showing various Data Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Data Architect

IntelliTrans

Atlanta, GA • On-site

$62.50 - $80.50/hr

Full-time

Re-posted 19 days ago


Job description

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc. (NYSE: ROP) is seeking a Data Architect to join our team hybrid in Atlanta, GA.
Job Summary:
The Data Architect will lead the strategic design and implementation of data architecture for IntelliTrans' Transportation Management Systems (TMS) platform and products. This senior role is responsible for the architecture, modeling, performance optimization, and governance of enterprise-scale data solutions that support multi-tenant SaaS operations serving global transportation and logistics customers. The Data Architect will collaborate with executive leadership, engineering teams, and business stakeholders to ensure our data infrastructure remains scalable, secure, performant, and aligned with business intelligence and operational requirements. This position requires deep technical expertise in data management combined with strategic thinking and strong leadership skills to guide the evolution of our data platform supporting mission-critical transportation operations worldwide. The Data Architect will set standards, define direction, and architect scalable solutions-particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming.
Essential Duties and Responsibilities include the following. Other duties may be assigned.
  • Define and communicate the overall data architecture strategy and roadmap for IntelliTrans' TMS platform, ensuring alignment with business objectives and analytics requirements
  • Design and implement enterprise-scale data architectures for multi-tenant SaaS environments, including data warehousing, data lakes, and operational data stores
  • Establish and enforce data architecture standards, data modeling best practices, and data governance policies across all development teams
  • Lead the design of scalable data pipelines, ETL/ELT processes, and real-time data integration solutions to support transportation operations and business intelligence
  • Collaborate with C-level executives, product management, and business stakeholders to translate data requirements into comprehensive technical solutions
  • Oversee database design and optimization strategies for high-volume transactional systems and analytical workloads
  • Guide technology selection decisions for data platforms, analytics tools, and emerging data technologies including AI/ML frameworks
  • Lead data governance initiatives including data quality management, master data management, and metadata management programs
  • Ensure data security, privacy compliance, and adherence to industry standards including GDPR, CCPA, SOC 2, and transportation industry regulations
  • Design and implement data backup, recovery, and archival strategies for business-critical transportation data
  • Drive adoption of modern data engineering practices including artificial intelligence, relational and NoSQL, graph databases, data mesh architecture, streaming analytics, and cloud-native data platforms
  • Mentor & develop data engineers, database administrators, & analytics teams, fostering a culture of data excellence
  • Direct performance tuning, capacity planning, and optimization of database systems and data platforms, including for Oracle and PostgreSQL databases.
  • Represent IntelliTrans in technical forums and client discussions regarding data architecture and analytics capabilities
  • Develop and maintain data architecture documentation, data dictionaries, and conceptual/logical/physical data models, including ER diagrams, dimensional models, and multi-tenant schemas.
  • Lead technical due diligence for data-related acquisitions, partnerships, and technology investments
  • Enable near real-time delivery of data changes directly to customers for consumption within their own data lakes.
  • Architect and grow modern data lake and environments, ideally leveraging Databricks as the strategic platform
  • Collaborate with engineering teams and offshore resources to deliver scalable, reliable, and well-governed data systems.
  • Establish standards, best practices, and architectural patterns for enterprise data management.
  • Build or enhance data platforms that support AI/ML workloads, including data readiness, optimization, and pipelines feeding AI models.

QUALIFICATIONS AND BACKGROUND
EDUCATION: Master's degree in Computer Science, Data Science, Information Systems, or related technical field
  • Industry certifications:
    • AWS Certified Data Analytics or Database Specialty
    • CDMP (Certified Data Management Professional)
    • Oracle Database certifications

EXPERIENCE:
REQUIRED EXPERIENCE
  • Minimum of 10+ years of progressive experience in data management and architecture, with at least 5 years in senior data architecture leadership roles
  • Databricks experience (required) - strong working proficiency with at least 2-4 years strongly preferred.
  • Deep AWS data ecosystem experience, including design and hands-on engineering with structured, unstructured, relational, and NoSQL data.
  • Database expertise in Oracle and PostgreSQL including schema design, indexing, and performance tuning.
  • Proven track record of designing and implementing large-scale data architectures for multi-tenant SaaS platforms serving enterprise customers
  • Strong data modeling skills: ability to design optimal models and produce professional ER diagrams.
  • Near-expert experience optimizing databases for performance and scalability.
  • Strong understanding of multi-tenant architectures, including schema isolation and workload management.
  • Experience with both OLTP and OLAP systems, including modern data warehousing and ETL/ELT patterns.
  • Experience with CDC, data streaming, and queuing systems (e.g., Kafka, Kinesis, Pulsar).
  • Ability to architect data sharing solutions enabling customers to ingest data in their own data lakes.
  • Experience designing or supporting data pipelines optimized for AI/ML workloads, including feature engineering, vector storage, model-ready datasets, or integration with AI platforms (e.g., SageMaker, Databricks ML, or similar).
  • Comprehensive understanding of data governance and security:
    • Data Quality: Profiling, validation, monitoring frameworks
    • Data Governance: Lineage tracking, data catalogs, metadata management
    • Security: Encryption at rest/in transit, access controls, data masking, tokenization
  • Experience with business intelligence and analytics tools:
    • BI Platforms: Tableau, Power BI, Looker, or similar
    • Reporting: SQL-based reporting, embedded analytics
  • Understanding of DevOps practices for data platforms:
    • Version Control: Git for database schemas and data pipelines
    • CI/CD: Automated testing, deployment automation for data assets
    • Infrastructure as Code: Terraform, CloudFormation for data infrastructure

PREFERRED QUALIFICATIONS
  • Experience building data lakes that support AI or advanced analytics.
  • Experience designing data architectures that feed or support AI/ML models.
  • Previous ownership of enterprise data strategy or acting as the primary data expert within an organization.
  • Strong knowledge of cloud data platforms and services:
    • AWS: RDS, Redshift, Aurora, DMS, Glue, Lake Formation, Athena
    • Cloud Architecture: Multi-region replication, disaster recovery, data sovereignty
  • Experience with AI/ML data architectures and feature stores
  • Knowledge of AI-accelerated development and data analysis tools (Anthropic Claude Code, Microsoft Copilot)
  • Experience with data science platforms and MLOps:
    • SageMaker, Databricks, MLflow
    • Feature engineering and model serving infrastructure
  • Knowledge of API design for data services (RESTful, GraphQL)
  • Experience in Transportation, Logistics, or Supply Chain Management systems
  • Understanding of transportation industry data standards (EDI, API specifications)
  • Experience with geospatial data and mapping technologies

PERFORMANCE SKILLS /COMPETENCIES:
  • Exceptional strategic thinking and technology vision capabilities
  • Strong executive presence and ability to communicate complex technical concepts to non-technical stakeholders
  • Proven track record of building and leading high-performing technical teams
  • Experience managing technical budgets and resource allocation
  • Strong problem-solving skills with ability to balance technical excellence with business pragmatism
  • Excellent written and verbal communication skills, including presentation and documentation abilities
  • Ability to work effectively across global teams and different time zones
  • Strong analytical and decision-making capabilities under pressure

  • Polished written and verbal communication skills
  • Strong teamwork skills, including the ability to work with teams in different geographic regions.
  • Strong planning, scheduling, organization skills
  • Strong curiosity and drive to uncover root cause of incidents and find solutions.
  • Strong desire to develop deep industry knowledge and increase autonomy as product and industry knowledge increases, ultimately becoming a mentor to other employees.
  • Commitment to continuous learning and staying current with emerging technologies

IntelliTrans supports workforce diversity and is a committed equal opportunity. / Affirmative action employer.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.