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, Consulting & Professional Services, and Insurance, with employers like Synertex, Tiger Analytics, and Fisher Investments hiring at this level now.
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Showing 4 of 15+ Entry Level Data Architect jobs
INTRODUCTION
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
ROLE AND RESPONSIBILITIES
They are responsible for ensuring that data solutions meet business needs, align with technology strategies, and comply with data governance and security standards.
- Develop and maintain data architecture blueprints, data flows, and data models;
- Collaborate with stakeholders to understand data requirements and design data solutions;
- Define data standards and best practices to ensure data quality and consistency;
- Evaluate and recommend new technologies and tools to support data management and analytics initiatives;
- Lead data integration projects and oversee data migration efforts;
- Provide guidance and expertise to data management teams on data architecture principles and practices;
- Ensure compliance with data privacy regulations and security policies;
- Conduct performance tuning and optimization of data infrastructure;
- Stay current with industry trends and advancements in data architecture and analytics.
BASIC QUALIFICATIONS
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
CERTIFICATIONS
BUILD-IT/GOOGLE CLOUD - Genpact
Certified Data Management Professional - Riversand
Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures Technologies
IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBM
Informatica Certified Designer - Informatica
REQUIRED SKILLS
- Accounts Payable Process
- Accounts Receivable (AR)
- Aerospace Manufacturing
- Agile Methodology
- Automotive Manufacturing
- Banking Capital Markets
- Change Management
- Claims Management
- Client Relations
- Cloud Computing
- Collaboration Tools
- Computer Vision
- Consumer Electronics
- Consumer Packaged Goods (CPG)
- Databricks Platform
- Data Engineering
- Design Thinking
- Electronic Hardware
- Entertainment Journalism
- Executive Presence
- Healthcare Payors
- Inclusion
- Industrial Manufacturing Processes
- Information Security
-
- 26 more
LANGUAGE
English (Required)
LANGUAGE PROFICIENCY
Proficient - C2
ADDITIONAL JOB LOCATION
JOB TYPE
Regular
MASTER SKILL LIST
Data Engineering
REMOTE TYPE
Hybrid
WORK SHIFT
Day Job (United States of America)
COMPENSATION
The approximate annual base compensation range for this position is:
- 100,000 to 125,000 USD
“Los Angeles California-based candidates are not eligible for this role”
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.
WHY JOIN GENPACT?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
INTRODUCTION
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
ROLE AND RESPONSIBILITIES
They are responsible for ensuring that data solutions meet business needs, align with technology strategies, and comply with data governance and security standards.
- Develop and maintain data architecture blueprints, data flows, and data models;
- Collaborate with stakeholders to understand data requirements and design data solutions;
- Define data standards and best practices to ensure data quality and consistency;
- Evaluate and recommend new technologies and tools to support data management and analytics initiatives;
- Lead data integration projects and oversee data migration efforts;
- Provide guidance and expertise to data management teams on data architecture principles and practices;
- Ensure compliance with data privacy regulations and security policies;
- Conduct performance tuning and optimization of data infrastructure;
- Stay current with industry trends and advancements in data architecture and analytics.
BASIC QUALIFICATIONS
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
CERTIFICATIONS
BUILD-IT/GOOGLE CLOUD - Genpact
Certified Data Management Professional - Riversand
Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures Technologies
IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBM
Informatica Certified Designer - Informatica
REQUIRED SKILLS
- Accounts Payable Process
- Accounts Receivable (AR)
- Aerospace Manufacturing
- Agile Methodology
- Automotive Manufacturing
- Banking Capital Markets
- Change Management
- Claims Management
- Client Relations
- Cloud Computing
- Collaboration Tools
- Computer Vision
- Consumer Electronics
- Consumer Packaged Goods (CPG)
- Databricks Platform
- Data Engineering
- Design Thinking
- Electronic Hardware
- Entertainment Journalism
- Executive Presence
- Healthcare Payors
- Inclusion
- Industrial Manufacturing Processes
- Information Security
-
- 26 more
LANGUAGE
English (Required)
LANGUAGE PROFICIENCY
Proficient - C2
ADDITIONAL JOB LOCATION
JOB TYPE
Regular
MASTER SKILL LIST
Data Engineering
REMOTE TYPE
Hybrid
WORK SHIFT
Day Job (United States of America)
COMPENSATION
The approximate annual base compensation range for this position is:
- 100,000 to 125,000 USD
“Los Angeles California-based candidates are not eligible for this role”
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.
WHY JOIN GENPACT?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
See All 15 Entry Level Data Architect Jobs
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Find JobsEntry Level Data Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Insurance
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 Synertex, Tiger Analytics, and Fisher Investments, based on current listings on Migrate Mate as of November 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 67% of entry level data architect openings are remote or hybrid as of November 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, Consulting & Professional Services, and Insurance, based on current listings on Migrate Mate as of November 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.