Sr. Data Solution Architect

owensminor; United States; Remote; USD 155,000 - 160,000; Full time

Benefits offered by this job

Health coverage from day one

Retirement savings

Paid leave

Life and disability coverage

Educational assistance

Family-building support

Wellbeing programs

Job summary

Owens & Minor is seeking a Senior Data Architect to shape enterprise data and AI architecture, balancing long-term direction with hands-on design and implementation alongside engineering and analytics teams.

You will design end-to-end architectures for data platforms, ML, and generative AI, establish reusable patterns, and evaluate technologies aligned with business priorities. The role emphasizes governance and leadership across multiple functions.

Qualifications

• 10+ years in data architecture, enterprise architecture, analytics platforms, or software engineering.
• 3+ years designing AI, machine learning, or advanced analytics solutions.
• Experience with enterprise AI strategy or governance, cloud-native architecture, and large-scale cloud transformation.
• Knowledge of generative AI, LLMs, retrieval-augmented generation, AI agents, and orchestration frameworks.
• Hands-on skills in data modeling, warehousing or lakehouse design, integration, cloud platforms, and data engineering; Azure and Snowflake are specified.
• Demonstrated success leading complex initiatives across business functions and stakeholder groups.

Responsibilities

• Design end-to-end architectures for data platforms, analytics, machine learning, and generative AI.
• Set reusable patterns for ingestion, transformation, storage, integration, governance, and deployment.
• Evaluate data, cloud, AI, and integration technologies and recommend approaches aligned with business priorities.
• Partner with business leaders, engineering, applications, security, infrastructure, and analytics teams on solution design.
• Participate in proofs of concept, review designs and code, troubleshoot technical issues, and support production delivery.
• Advance enterprise AI strategy and governance while leading complex technology initiatives and cloud transformations.

Skills

Data architecture

Enterprise architecture

AI/ML design

Cloud transformation

Stakeholder leadership

Education

Master’s degree in a technical field

Tools

Databricks

Vector databases

Semantic search

MLOps

Power BI

Python

SQL

CI/CD

APIs

Event-driven

Job description

Role overview

Shape enterprise data and AI architecture so teams can build secure, scalable solutions tied to business needs. This is a senior technical leadership role that combines long-term architecture direction with hands‑on design, validation, prototyping, and implementation alongside engineering and analytics teams.

Responsibilities

• Design end-to-end architectures for data platforms, analytics, machine learning, and generative AI.
• Set reusable patterns for ingestion, transformation, storage, integration, governance, and deployment.
• Evaluate data, cloud, AI, and integration technologies and recommend approaches aligned with business priorities.
• Partner with business leaders, engineering, applications, security, infrastructure, and analytics teams on solution design.
• Participate in proofs of concept, review designs and code, troubleshoot technical issues, and support production delivery.
• Advance enterprise AI strategy and governance while leading complex technology initiatives and cloud transformations.

Requirements

• 10+ years in data architecture, enterprise architecture, analytics platforms, or software engineering.
• 3+ years designing AI, machine learning, or advanced analytics solutions.
• Experience with enterprise AI strategy or governance, cloud-native architecture, and large-scale cloud transformation.
• Knowledge of generative AI, LLMs, retrieval-augmented generation, AI agents, and orchestration frameworks.
• Hands‑on skills in data modeling, warehousing or lakehouse design, integration, cloud platforms, and data engineering; Azure and Snowflake are specified.
• Demonstrated success leading complex initiatives across business functions and stakeholder groups.

Nice to have

• A master’s degree in a relevant technical field and certifications in cloud architecture, AI, data platforms, or enterprise architecture.
• Experience in healthcare, distribution, supply chain, logistics, or other regulated settings.
• Familiarity with tools and practices such as Databricks, vector databases, semantic search, MLOps, Power BI, Python, SQL, CI/CD, and API or event-driven design.

Benefits and work setup

• Anticipated annual salary range: $155,000–$160,000, with actual compensation based on experience, skills, education, and location.
• Benefits include health coverage starting on the first day for eligible full-time employees, retirement savings, paid leave, life and disability coverage, educational assistance, family-building support, and wellbeing programs.