Availability awaiting confirmation
We are waiting for a fresh update from the source. This page preserves the last received job details; current availability is not confirmed.
Job description
Description
Peregrine Advisors is a firm founded on a simple conviction: the best solutions come from the people closest to the problem, given real ownership and the tools to deliver. We are a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission to deliver for client stakeholders and the US public, looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution.
Your first assignment
Your first assignment is to shape the data architecture and data models for a large federal data-lake platform on Amazon Web Services (AWS): S3, Apache Iceberg, Amazon Aurora PostgreSQL, and DynamoDB. The work is real, hard, and it matters. It is also where you start, not the shape of your career here: we hire people, not seats, and we move our best to where the hardest problems are.
What you'll build
Clean data models and schemas across the lake and the relational stores (S3 with Apache Iceberg tables, Amazon Aurora PostgreSQL, and DynamoDB).
The architecture that brings the data together: you design the models and schemas that new and migrated sources land in, and you restructure the existing ecosystem to cut redundancy and protect integrity and accessibility, all under governed access.
In time, the firm itself: new capabilities, tools, and lines of business you help spin up.
Who you are
You are a data architect who sees the whole system and cares how every piece fits. You model with precision, you explain a design to engineers and executives alike, and you leave a data estate better than you found it. You experiment, fail, learn, and repeat quickly. You would rather own an outcome than be handed a task.
What you bring
Deep data modeling and schema design across a data lake and relational stores on AWS.
The architect's toolkit around it: cloud data services, governed access, modeling tools, and the judgment to restructure a live ecosystem without breaking it.
The communication to carry a design past technical and non-technical stakeholders, in a regulated environment where accuracy and auditability are not optional.
What you'll need
Sole United States citizenship and the ability to obtain a Public Trust determination are required for this initial engagement. This is a hybrid role based in the Washington, DC metropolitan area, and it requires commuting into DC regularly. Everything else, the years, the certifications, the specific tools, we ask in the application and get into during the interview.
What we offer
A high-performing team of developers, engineers, data scientists, architects, and strategists solving complex, real-world problems, with work that runs from strategy formulation to hands-on implementation. We develop people across roles and clients, with extensive onboarding and sponsored training and professional development. And Peregrine has been a Benefit Corporation from day one: public value is built into the work itself, not bolted on afterward. Work worth your best years.
What we commit to
As a Benefit Corporation, our commitment runs three ways: real, measurable value for our clients; government that works better for the public; and a team that makes everyone in it better.
We hire people who want to help build the firm, not just work at it.
Peregrine Advisors is an equal opportunity employer.
Requirements
5+ years of data architecture and data modeling experience
Bachelor's degree
Schema design across a data lake and relational stores: S3 with Apache Iceberg tables, Amazon Aurora PostgreSQL, and DynamoDB
AWS cloud data architecture (Glue, EMR, Lambda)
Data governance and security (Apache Ranger or comparable access controls)
Data modeling tools (for example ER/Studio or IBM InfoSphere)
Stakeholder communication with technical and non-technical audiences
Basic proficiency in writing, PowerPoint, and Excel
Preferred
Master's degree in a relevant field
Hadoop or Spark
Data-lifecycle breadth: data engineering, data product, data science, or data management
Federal information technology experience
Familiarity with AI-assisted developer tooling
Benefits
Medical, dental, and vision with the employee premium fully paid and half of dependent premiums
employer-paid life, accidental death, and short-term and long-term disability insurance
a 401(k) matched 100% up to 4% of salary, vesting immediately
unlimited paid time off
and sponsored professional certifications and continuing education
#J-18808-Ljbffr
Worksite address
washington, DC, 20022, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.