Entry Level Data Architect Jobs
New grad data architect jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site roles across Technology & Software, Healthcare & Medical Services, and Retail, with employers like CVS Health, JBS INTERNATIONAL, and Amazon hiring at this level now.
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Showing 5 of 24+ Entry Level Data Architect jobs
INTRODUCTION
We are looking for a highly motivated Data & Integration Solution Architect to join our growing Data & AI practice and help design and deliver modern enterprise data, integration, analytics, and AI solutions for our clients. This is an excellent opportunity for an experienced Data Engineer, Technical Lead, Data Architect, or Integration Architect who has strong technical fundamentals and is ready to grow into broader solution architecture and technical leadership responsibilities.
ROLE AND RESPONSIBILITIES
Lead solution design for enterprise data, integration, analytics, and modernization initiatives.
Translate business requirements into scalable data and integration architectures.
Design solutions involving Snowflake, ETL/ELT platforms, APIs, cloud services, enterprise applications, and BI/analytics platforms.
Assess source systems, data flows, interfaces, dependencies, data quality, security, and integration requirements.
Design reusable patterns for batch, API, file-based, and event-driven integrations.
Collaborate with Snowflake, Talend, BI/Qlik, Salesforce/Veeva, AI, and application teams to develop end-to-end solutions.
Lead technical discovery sessions and architecture discussions with client and internal stakeholders.
Develop solution architecture diagrams, data flows, integration designs, technical approaches, assumptions, and implementation roadmaps.
Support project estimation, resource planning, proposals, and SOW development.
Provide architecture oversight throughout development, testing, deployment, and production transition.
* Identify opportunities to modernize data and integration platforms using cloud-native technologies, automation, and AI.
BASIC QUALIFICATIONS
Strong foundation in data engineering, data architecture, and enterprise integration.
Hands-on experience with SQL, data modeling, ETL/ELT, APIs, and modern data platforms.
Experience with a cloud data platform such as Snowflake is highly preferred.
Understanding of enterprise integration patterns, REST APIs, batch/file integrations, orchestration, data quality, and security.
Experience with ETL/integration technologies such as Talend or comparable platforms.
Exposure to BI/analytics platforms such as Qlik, Power BI, or Tableau.
Ability to understand unfamiliar enterprise applications and integration landscapes quickly.
Experience creating architecture diagrams, technical designs, data flows, and implementation plans.
Strong analytical and problem-solving skills with the ability to work through ambiguous requirements.
Good communication skills and the ability to explain technical solutions clearly to both technical and business stakeholders.
PREFERRED QUALIFICATIONS
We are especially interested in candidates who are curious, hands-on, accountable, and eager to grow. You do not need to know every technology in our clients' ecosystems. We are looking for someone with strong fundamentals who can quickly understand a new business problem, ask the right questions, collaborate with platform specialists, and develop a practical end-to-end solution. This role is ideal for someone ready to make the transition from: Senior Data Engineer / Technical Lead → Solution Architect → Enterprise Data & Integration Architect. You will have the opportunity to work directly on strategic enterprise transformation initiatives and grow into broader architecture and technical leadership responsibilities.
INTRODUCTION
We are looking for a highly motivated Data & Integration Solution Architect to join our growing Data & AI practice and help design and deliver modern enterprise data, integration, analytics, and AI solutions for our clients. This is an excellent opportunity for an experienced Data Engineer, Technical Lead, Data Architect, or Integration Architect who has strong technical fundamentals and is ready to grow into broader solution architecture and technical leadership responsibilities.
ROLE AND RESPONSIBILITIES
Lead solution design for enterprise data, integration, analytics, and modernization initiatives.
Translate business requirements into scalable data and integration architectures.
Design solutions involving Snowflake, ETL/ELT platforms, APIs, cloud services, enterprise applications, and BI/analytics platforms.
Assess source systems, data flows, interfaces, dependencies, data quality, security, and integration requirements.
Design reusable patterns for batch, API, file-based, and event-driven integrations.
Collaborate with Snowflake, Talend, BI/Qlik, Salesforce/Veeva, AI, and application teams to develop end-to-end solutions.
Lead technical discovery sessions and architecture discussions with client and internal stakeholders.
Develop solution architecture diagrams, data flows, integration designs, technical approaches, assumptions, and implementation roadmaps.
Support project estimation, resource planning, proposals, and SOW development.
Provide architecture oversight throughout development, testing, deployment, and production transition.
* Identify opportunities to modernize data and integration platforms using cloud-native technologies, automation, and AI.
BASIC QUALIFICATIONS
Strong foundation in data engineering, data architecture, and enterprise integration.
Hands-on experience with SQL, data modeling, ETL/ELT, APIs, and modern data platforms.
Experience with a cloud data platform such as Snowflake is highly preferred.
Understanding of enterprise integration patterns, REST APIs, batch/file integrations, orchestration, data quality, and security.
Experience with ETL/integration technologies such as Talend or comparable platforms.
Exposure to BI/analytics platforms such as Qlik, Power BI, or Tableau.
Ability to understand unfamiliar enterprise applications and integration landscapes quickly.
Experience creating architecture diagrams, technical designs, data flows, and implementation plans.
Strong analytical and problem-solving skills with the ability to work through ambiguous requirements.
Good communication skills and the ability to explain technical solutions clearly to both technical and business stakeholders.
PREFERRED QUALIFICATIONS
We are especially interested in candidates who are curious, hands-on, accountable, and eager to grow. You do not need to know every technology in our clients' ecosystems. We are looking for someone with strong fundamentals who can quickly understand a new business problem, ask the right questions, collaborate with platform specialists, and develop a practical end-to-end solution. This role is ideal for someone ready to make the transition from: Senior Data Engineer / Technical Lead → Solution Architect → Enterprise Data & Integration Architect. You will have the opportunity to work directly on strategic enterprise transformation initiatives and grow into broader architecture and technical leadership responsibilities.
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Find JobsEntry Level Data Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Retail
- Insurance
- E-Commerce & Online Marketplaces
Entry Level Data Architect Jobs: Frequently Asked Questions
How do I get an entry level data architect job?
Build hands-on experience with data modeling tools, cloud platforms like AWS or Azure, and SQL before applying. Employers hiring at the entry level look for a portfolio of academic or personal projects that demonstrates schema design and data pipeline work. Certifications in cloud data services and familiarity with warehousing concepts like star schemas give candidates a clear edge over applicants with coursework alone.
Which companies hire entry level data architects?
Companies hiring entry level data architects right now include CVS Health, JBS INTERNATIONAL, and Amazon, based on current listings on Migrate Mate as of August 2026. At this level, hiring covers technology firms, financial services companies, healthcare systems, and consulting practices that build data infrastructure teams and bring in junior talent to grow alongside senior architects.
Are there remote entry level data architect jobs?
Yes, though on-site and hybrid roles remain common at this stage. About 57% of entry level data architect openings are remote or hybrid as of August 2026, reflecting demand from employers who offer location flexibility even for candidates newer to the field. Filtering by work setting on Migrate Mate lets you focus only on openings that match your preference.
Are these new grad data architect jobs?
Yes. The listings here include new grad, recent graduate, and junior data architect roles alongside other entry level postings. A new grad friendly posting typically welcomes zero to two years of experience and treats internships, capstone projects, or a strong portfolio as equivalent to full-time work history. Look for language like "entry level," "junior," or "0 to 2 years" in the requirements section as a reliable signal.
Which industries hire the most entry level data architects?
Entry Level data architect roles concentrate in Technology & Software, Healthcare & Medical Services, and Retail, based on current listings on Migrate Mate as of August 2026. Those sectors drive hiring at this level because they manage large, complex datasets that require structured architecture from the ground up, making junior talent a practical investment for teams scaling their data infrastructure.