Solutions Architect - Data Society
Washington, DC 20022
About the Job
About Data Society Group
At Data Society Group (DSG), we provide the highest quality, leading-edge industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local government organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. DSG publishes CDO Magazine, the preeminent global publication for Data Officers. Our executive boards include industry leaders, engineers, and data scientists from across the world. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills.
About the Solutions Architect Role
At Data Society Group (DSG), we provide the highest quality, leading-edge industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local government organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. DSG publishes CDO Magazine, the preeminent global publication for Data Officers. Our executive boards include industry leaders, engineers, and data scientists from across the world. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills.
About the Solutions Architect Role
DSG wants to transform how organizations use data. As part of this effort, we are building products to develop and empower the next generation of data and AI-powered workforces. We move with careful urgency and believe our products can change the world. We are looking for a solutions architect to join the core team at DSG!
Role Overview
- Design, build, test, and release full-stack data-powered services and products as a lead engineer.
- Implement durable, secure software solutions that will solve critical customer problems in a fast-paced environment.
- Work directly with the sales team to understand requirements, evaluate trade-offs, and deliver practical, innovative solutions (with a mix of onshore and offshore resources).
- Be a trusted partner with customers to deeply understand their needs and collaborate directly with their management teams. Act as the main technical voice for Data Society Group.
- Be a domain SME – contribute to standards, patterns, and best practices that improve engineering capabilities in performance, security, scalability, operational excellence, and cost management.
- Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, etc.
- Practice and evangelize continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems.
Ideal Background
- 8+ years of experience developing systems/software for complex distributed systems, management products, or business applications.
- Experience with at least two of the following areas:
- Large-scale microservices and distributed systems
- Cloud computing and storage systems
- Information Retrieval/Search Systems
- Machine learning for Search and/or Recommender systems
- Experience with AI infrastructure and applications
- Strong working knowledge and experience applying AI to existing applications or building AI native applications with ability to articulate value/limitations, use evaluation tools to measure accuracy, train/tune models, apply tools/techniques.
- Experience with AI technologies like SageMaker, Google Vertex AI, LangChain, Large Language Models, Prompt Engineering, DialogFlow.
- Proficiency in Python, AWS.
- Full-stack development experience with experience in:
- Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android).
- Back-end technologies like Java, Typescript, Spring, Python, NodeJS/Bun.
- BS/MS in a technical field such as Computer Science or equivalent years of experience.
- Authorized to work in the US and resides within the continental United States.
Ideal Skillset
- Team player well-respected for strong analytical and problem-solving skills.
- Ability to work effectively in a fast-paced, complex technical environment.
- Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives).
- "Self-starter" attitude and the ability to make decisions independently.
- Flexible and resilient.
- Travel is mostly regional, and will be 5-20% of your time.
Source : Data Society