Principal Data & ML Ops Architect

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Design large-scale platforms for data and document processing, encompassing everything from ingestion to downstream use.

• Develop robust methodologies for document parsing, extraction, normalization, validation, storage, searching, human review, and reprocessing.

• Set standards for schemas, metadata, lineage, provenance, data quality, reproducibility, and auditability.

• Create reliable ingestion and transformation pipelines utilizing APIs, files, batch processing, and streaming as necessary.

• Establish platform patterns that facilitate the transition of Data Science and AI prototypes into secure, maintainable production solutions.

• Design data and retrieval foundations that support RAG, analytics, AI workflows, evaluations, and feedback mechanisms.

• Make architectural decisions considering scalability, reliability, security, privacy, costs, and operational complexities.

• Lead technical design reviews, troubleshoot production issues, mentor engineers, and collaborate with teams across Data Engineering, Data Science, DevOps/MLOps, Product, Security, and client relations.

• Review and create Python code, SQL scripts, schemas, APIs, and production data pipelines.

⛳️ Requirements

• Extensive experience in architecting and managing production data platforms or distributed data systems.

• Proficient in Python, SQL, data modeling, ETL/ELT, workflow orchestration, and cloud data platforms.

• Considerable experience with unstructured data or large-scale document processing systems.

• Strong knowledge of metadata, schema evolution, lineage, provenance, data quality, observability, retries, replay, backfills, and recovery processes.

• Experience in designing systems with sensitive data controls, governance, access management, and auditing needs.

• Solid understanding of how contemporary AI/ML and retrieval systems rely on production data architecture.

• Proven technical judgment, ownership, problem-solving abilities, and the capacity to challenge fragile or overly complex designs.

• Excellent technical communication and decision-making skills.

• Must be authorized to work in the United States and have resided in the US for three or more consecutive years.

• Must be willing and able to obtain a Public Trust Clearance.

• Experience in sectors such as healthcare, life sciences, government, regulated industries, PHI/PII, or GDPR environments is advantageous but not mandatory.

🏝️ Benefits

• Health Insurance - 100% of employer-paid premiums – ICA covers the full cost of one of the three available medical plans.

• Dental Insurance.

• Vision Insurance.

• Health Spending Account.

• Flexible Spending Account.

• Life and Disability Insurance.

• 401(k) plan with company matching.

• Paid Time Off (including Vacation, Sick Leave, and Holidays).

• Assistance for Education and Professional Development.

• Opportunity for remote work from anywhere within the continental United States.