Active AWS Certifications (Solutions Architect, Data Engineer, or Machine Learning)
5+ years designing and building enterprise data or AI/ML platforms on AWS
Proven track record in creating shared platform capabilities for multiple products
Experience with incremental migration of production data systems
Hands-on expertise with AWS tools and services essential for data and AI/ML
Strong MLOps architecture skills covering deployment and monitoring
Ability to write production-level code for initial platform components
Responsibilities
Define the AWS architecture for data processing and analytics capabilities
Design ingestion pipelines and APIs for shared platform services
Build a reusable platform that serves multiple projects
Create strategies for migrating existing solutions to the unified platform
Identify and consolidate duplicated technical patterns across projects
Lead architecture reviews and establish engineering standards
Collaborate on a cross-project platform roadmap with product leaders
Benefits
100% employer-paid health insurance premiums
Dental and vision insurance coverage
Health and Flexible Spending Accounts
Life and disability insurance
401(k) plan with company match
Paid time off including vacation, sick leave, and holidays
Support for education and professional development
Remote work flexibility within the continental US
Full Job Description
We are looking for a Principal AWS Data Platform & ML Ops Architectto join our growing team!
ABOUT THE ROLE:
We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a shared data and AI platform supporting multiple products and projects.
Your mandate will be to establish a unified AWS-native platform, including shared data models, pipelines, services, and serving layers that can support document intelligence, semantic and multimodal search, RAG applications, data science projects, dashboards, and analytics. You will define the technical direction and build the platform capabilities through hands-on development and by guiding other Data Engineers.
KEY RESPONSIBILITIES:
Architect and Build the Shared Platform
Define the target AWS architecture for shared data, document-processing, search, analytics, and AI capabilities.
Design the canonical data model, ingestion and processing pipelines, storage patterns, APIs, event contracts, and serving layers.
Build a reusable platform serving multiple products and projects with critical shared capabilities and establish repeatable implementation patterns for engineering teams.
Develop an incremental migration and adoption strategy for bringing existing solutions onto the shared platform.
Identify duplicated pipelines, services, infrastructure, and technical patterns across projects.
Determine which capabilities should become shared platform services and which should remain project-specific.
Define the Data and MLOps Architecture
Design the AWS-based path from data science deliverables to production by establishing architecture for model packaging, deployment, serving, registry, monitoring, drift detection, and retraining workflows.
Define onboarding standards for new data products, models, search applications, and AI-enabled services.
Design platform capabilities supporting search indexes, embeddings, vector retrieval, RAG, and model evaluation.
Provide Technical Design Authority
Lead architecture and design reviews before significant development begins.
Provide technical leadership and mentoring across data engineering, data science, software engineering, and platform teams.
Partner with product and engineering leaders on a cross-project platform roadmap.
REQUIRED QUALIFICATIONS:
Active AWS Certifications (Solutions Architect, Data Engineer or Machine Learning)
Extensive experience designing and building enterprise data platforms or AI/ML platforms on AWS.
Demonstrated experience creating shared platform capabilities adopted by multiple products, projects, or business units.
Experience consolidating separate production data systems through incremental migration and adoption.
Strong hands-on AWS architecture experience key for Data, AI, ML Engineering including S3, DynamoDB, Lambda, ECS, Fargate, or AWS Batch, Step Functions, SQS, SNS, and EventBridge, OpenSearch Service, Glue and Athena, SageMaker, IAM, KMS, and CloudWatch
Strong experience with data engineering, distributed systems, event-driven architecture, APIs, data modeling, metadata, lineage, governance, and access control.
Strong MLOps architecture experience, including model deployment, serving, registries, monitoring, drift detection, and retraining workflows.
Experience designing search, vector retrieval, embedding, or RAG data foundations.
Experience with infrastructure as code using AWS CDK, Terraform, or CloudFormation.
Experience with multi-account AWS environments, private networking, and AWS Well-Architected principles.
Ability and willingness to write production code and build initial critical platform components.
Experience influencing senior engineers and enforcing architecture decisions across teams without direct management authority.
Strong technical communication and decision-making skills.
Must be authorized to work in the United States and have lived in the US for 3 or more consecutive years.
Must be able and willing to obtain a Public Trust Clearance
PREFERRED QUALIFICATIONS:
Experience with document intelligence, OCR, multimodal search, data lake or lakehouse platforms, or generative AI systems.
Experience with Amazon Textract, Amazon Bedrock, SageMaker, OpenSearch vector capabilities, or AWS Lake Formation.
Experience working with regulated, sensitive, or access-controlled data.
Familiarity with audit, data provenance, evidence retention, tenant isolation, and model-governance requirements.
Experience establishing shared platform practices in consulting, professional-services, or multi-client environments.
Experience with AWS Organizations, Control Tower, disaster recovery, and cloud cost optimization.
USE OF AI ASSITIVE TECHNOLOGY:
All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification.
BENEFITS:
We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits.
Health Insurance -100% employer-paid premiums - ICA covers the full cost of one of three offered medical plans
Dental Insurance
Vision insurance
Health Spending Account
Flexible Spending Account
Life and Disability insurance
401(k) plan with company match
Paid Time Off (Vacation, Sick Leave and Holidays)
Education and Professional Development Assistance
Remote work from anywhere within the continental United States
LOCATION & TELEWORK This is a remote position following Eastern Standard Time (EST). Candidates residing in the DMV area preferred.
