CPT Platform Architect Jobs
Platform Architect CPT jobs let F-1 students apply systems design and cloud infrastructure coursework in a real engineering environment. Your DSO must authorize CPT before you start work, and the role must connect directly to your degree program. Most qualifying positions sit within computer science, information systems, or software engineering curricula.
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Get Access To All JobsINTRODUCTION
At Plymouth Rock, a fast-growing, analytics-driven insurer, we believe data science can redefine how insurance operates. As a Data Engineer Intern/Co-op with our Enterprise Advanced Analytics team, you will work with a team of top-tier data scientists to generate breakthrough insights that drive profitable growth, operational excellence, and competitive advantage. You will work with the team to help architect and manage the data pipelines that connect internal systems, third-party sources, and advanced analytical platforms, directly enabling our most strategic research initiatives.
Responsibilities
- Assist in modernizing legacy data pipelines into Python-based, cloud-native workflows using AWS Step Functions, AWS Glue, and S3.
- Build and improve ingestion pipelines that move data from SQL Server and other on-prem + cloud sources into AWS (e.g., S3-backed data lake).
- Improve pipeline performance, efficiency, and scalability (e.g., partitioning strategies, incremental loads, reduced runtime/cost).
- Implement data quality checks and operational safeguards to support reliable, repeatable (idempotent) runs (e.g., validation rules, anomaly checks, retry-safe processing).
- Contribute to reusable Python modules for ingestion, transformations, quality checks, logging, and alerting.
- Partner with data scientists/ML engineers to prepare curated datasets for SageMaker training/inference workflows.
- Document code, workflows, and runbooks; keep documentation current as pipelines evolve.
BASIC QUALIFICATIONS
- Currently pursuing or have completed a Master's in Computer Science, Information Systems, Data Engineering (or related).
- Experience (projects, internships, or coursework) building Python + SQL data pipelines or data-intensive workflows.
- Familiarity with AWS services commonly used in data platforms, including S3, Glue, Step Functions (hands-on experience preferred).
- Experience working with SQL Server (or similar relational databases) and writing performant SQL.
- Comfort with Linux and bash; able to debug jobs and inspect logs.
- Familiarity with CI/CD, Git, and basic testing practices.
- Exposure to hybrid connectivity patterns (e.g., VPN/Direct Connect, hosted agents, secure credential management) or tools for extracting from on-prem sources.
- Familiarity with data lake formats and practices (Parquet, partitioning, schema evolution).
- Exposure to monitoring/alerting (CloudWatch, Datadog) and data quality frameworks/patterns.
- Interest in ML data prep / feature pipelines for SageMaker.
COMPENSATION
- Salary Range: $25/hr - $30/hr. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
ABOUT THE COMPANY
The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”
INTRODUCTION
At Plymouth Rock, a fast-growing, analytics-driven insurer, we believe data science can redefine how insurance operates. As a Data Engineer Intern/Co-op with our Enterprise Advanced Analytics team, you will work with a team of top-tier data scientists to generate breakthrough insights that drive profitable growth, operational excellence, and competitive advantage. You will work with the team to help architect and manage the data pipelines that connect internal systems, third-party sources, and advanced analytical platforms, directly enabling our most strategic research initiatives.
Responsibilities
- Assist in modernizing legacy data pipelines into Python-based, cloud-native workflows using AWS Step Functions, AWS Glue, and S3.
- Build and improve ingestion pipelines that move data from SQL Server and other on-prem + cloud sources into AWS (e.g., S3-backed data lake).
- Improve pipeline performance, efficiency, and scalability (e.g., partitioning strategies, incremental loads, reduced runtime/cost).
- Implement data quality checks and operational safeguards to support reliable, repeatable (idempotent) runs (e.g., validation rules, anomaly checks, retry-safe processing).
- Contribute to reusable Python modules for ingestion, transformations, quality checks, logging, and alerting.
- Partner with data scientists/ML engineers to prepare curated datasets for SageMaker training/inference workflows.
- Document code, workflows, and runbooks; keep documentation current as pipelines evolve.
BASIC QUALIFICATIONS
- Currently pursuing or have completed a Master's in Computer Science, Information Systems, Data Engineering (or related).
- Experience (projects, internships, or coursework) building Python + SQL data pipelines or data-intensive workflows.
- Familiarity with AWS services commonly used in data platforms, including S3, Glue, Step Functions (hands-on experience preferred).
- Experience working with SQL Server (or similar relational databases) and writing performant SQL.
- Comfort with Linux and bash; able to debug jobs and inspect logs.
- Familiarity with CI/CD, Git, and basic testing practices.
- Exposure to hybrid connectivity patterns (e.g., VPN/Direct Connect, hosted agents, secure credential management) or tools for extracting from on-prem sources.
- Familiarity with data lake formats and practices (Parquet, partitioning, schema evolution).
- Exposure to monitoring/alerting (CloudWatch, Datadog) and data quality frameworks/patterns.
- Interest in ML data prep / feature pipelines for SageMaker.
COMPENSATION
- Salary Range: $25/hr - $30/hr. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
ABOUT THE COMPANY
The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”
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Get Access To All JobsPlatform Architect CPT: Frequently Asked Questions
Does a Platform Architect role qualify for CPT authorization?
CPT eligibility depends on whether the work is an integral part of your curriculum, not the job title itself. A Platform Architect role typically qualifies for students in computer science, information systems, or software engineering programs when the duties, such as designing cloud infrastructure, managing CI/CD pipelines, or leading systems integration, connect directly to courses in your degree plan. Your DSO makes the final determination.
Can I work full-time as a Platform Architect on CPT?
Yes, but twelve or more months of full-time CPT, defined as 20 or more hours per week, eliminates your post-completion OPT eligibility entirely. Most Platform Architect internships and co-ops run full-time. If you plan to use OPT after graduation, track your cumulative full-time CPT hours carefully and discuss the tradeoff with your DSO before accepting a full-time offer.
What job duties should a Platform Architect CPT offer letter describe?
Your DSO needs the offer letter to connect specific duties to your coursework. Useful language includes designing scalable cloud platforms, defining infrastructure-as-code standards, overseeing API gateway architecture, or leading cross-functional systems design reviews. Generic phrases like 'software engineering tasks' won't satisfy most DSO requirements. Ask the employer's HR team to tailor the duty description to your actual project scope.
How do I find Platform Architect roles where employers already understand CPT?
Migrate Mate surfaces employers with documented work authorization filing history, so you can focus on companies that have already navigated F-1 employment before. When you browse Platform Architect listings there, look for mid-size technology companies with established engineering organizations, since they're more likely to have HR processes that accommodate CPT documentation requirements and DSO authorization timelines.
What happens to my CPT authorization if the Platform Architect role changes scope after I start?
CPT authorization is tied to the specific role and employer described in your I-20 at the time of authorization. If your duties shift significantly, for example moving from backend infrastructure work to a product management function, you may need a new CPT authorization from your DSO before continuing. Notify your DSO promptly and get a revised offer letter reflecting the updated responsibilities.