Principal Data & ML Ops Architect

ICA, Inc.

. Architect large-scale data and document-processing platforms, from ingestion through downstream consumption .

Posted 9/16/2026full-timeRemote • Virginia • United StatesLead💰 $170,000 - $174,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting large-scale data platforms and document-processing systems, with a strong focus on data quality, metadata management, and secure data handling. Proficient in Python, SQL, and cloud data platforms, with a solid understanding of AI/ML integration and production data architecture.

Highest-signal resume keywords

Data Platform ArchitecturePython ProgrammingSQL ProficiencyETL/ELT Workflow OrchestrationMetadata Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingDocument ProcessingData Quality AssuranceSchema DesignAPIs DevelopmentBatch ProcessingStreaming Data ProcessingData GovernanceData IngestionData Transformation

Soft Skills

Technical CommunicationDecision-MakingProblem SolvingMentoring

Tools & Technologies

Cloud Data PlatformsData PipelinesAI WorkflowsData Retrieval Systems

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

HealthcareLife SciencesGovernmentRegulated IndustriesPHI/PIIGDPR

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Architect large-scale data and document-processing platforms, from ingestion through downstream consumption
Design robust patterns for document parsing, extraction, normalization, validation, storage, search, human review, and reprocessing
Establish standards for schemas, metadata, lineage, provenance, data quality, reproducibility, and auditability
Design reliable ingestion and transformation pipelines using APIs, files, batch processing, and streaming where appropriate
Create platform patterns that enable Data Science and AI prototypes to become secure, maintainable production solutions
Architect data and retrieval foundations supporting RAG, analytics, AI workflows, evaluation, and feedback loops
Make architecture decisions involving scalability, reliability, security, privacy, cost, and operational complexity
Lead technical design reviews, investigate production failures, mentor engineers, and work across Data Engineering, Data Science, DevOps/MLOps, Product, Security, and client teams
Review and develop Python, SQL, schemas, APIs, and production data pipelines

Requirements

What you’ll need

Deep experience architecting and owning production data platforms or distributed data systems
Strong Python, SQL, data modeling, ETL/ELT, workflow orchestration, and cloud-data-platform experience
Significant experience with unstructured data or document-processing systems at scale
Strong understanding of metadata, schema evolution, lineage, provenance, data quality, observability, retries, replay, backfills, and recovery
Experience designing systems with sensitive-data controls, governance, access management, and audit requirements
Strong understanding of how modern AI/ML and retrieval systems depend on production data architecture
Demonstrated technical judgment, ownership, problem solving, and ability to challenge fragile or overly complex designs
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
Experience in healthcare, life sciences, government, regulated industries, PHI/PII, or GDPR environments is valuable, but not required

Benefits

Comp & perks

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