Senior Solutions Architect – Infrastructure
SHI International Corp.
Solutions Engineer, AI
AssistRx
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudETLMS SQL ServerPythonSQL
About the role
- Lead technical discovery sessions with clients to assess workflows, CRM data (e.g., Salesforce, Veeva), and backend data systems.
- Develop and execute SQL queries and BI reports to explore, validate, and reconcile client data.
- Design and document data mapping between client objects and internal data models, defining transformation and normalization logic.
- Translate client business requirements into clear, actionable technical specifications for engineering teams.
- Review and validate code outputs and workflow logic to ensure alignment with design requirements and data accuracy.
- Produce technical and client-facing documentation explaining data flow, logic, and solution design.
- Provide quality assurance (QA/QC) oversight for data transformations, ensuring completeness, integrity, and reliability.
- Partner with Account Management and Engineering on post-implementation success, addressing issues and identifying enhancement opportunities.
- Support pre-sales and solution scoping activities by analyzing client data readiness and integration feasibility.
Requirements
- **Minimum Qualifications**
- Bachelor’s degree in Healthcare Informatics, Data Science, Computer Science, Information Systems, Business Analytics, or related field.
- 4–7 years of experience in data integration, analytics, or technical solution delivery, preferably in a client-facing environment.
- Proven experience with healthcare data or CRM-based programs, such as:
- - Patient support or specialty pharmacy programs
- - Nurse or case management systems
- - Medication therapy management (MTM)
- - Copay and reimbursement workflows
- - Hub or patient access services
- **Preferred Qualifications (Highly Competitive Candidates Will Have):**
- 5+ years of experience supporting healthcare or life sciences data integrations.
- Experience working with AI-powered analytics or predictive modeling tools.
- Demonstrated success in pre-sales or solution design roles involving complex data systems.
- Familiarity with ETL/ELT processes, dbt, or modern data stack tools.
- Experience delivering cloud-based analytics in a multi-tenant SaaS environment.
- **Technical Skills**
- Advanced SQL skills for data exploration, validation, and transformation.
- Hands-on experience with data warehouse environments (Snowflake, MS SQL Server).
- Understanding of data modeling, normalization, and CRM architectures (Salesforce, Veeva, HubSpot).
- Proven ability to document and communicate data transformation logic clearly and concisely.
- Bonus skills:
- - Python or scripting for automation and data manipulation
- - API data structures (JSON/XML)
- - Familiarity with AI/ML data pipelines or feature engineering**
- **Consultative & Communication Strengths**
- Skilled at leading technical discussions and translating complex data concepts into business language.
- Comfortable collaborating with both executive stakeholders and data engineers.
- Strong written and verbal communication skills with a client-service orientation.
- Ability to produce professional documentation and solution design materials.
Benefits
- Supportive, progressive, fast-paced environment
- Competitive pay structure
- Matching 401(k) with immediate vesting
- Medical, dental, vision, life, & short-term disability insurance
- Opportunity to impact patient outcomes through data-driven healthcare technology.
- Collaborative and mission-driven culture that values innovation and continuous learning.
- Access to cutting-edge cloud technologies and modern data engineering tools.
- Competitive compensation, comprehensive benefits, and career growth opportunities**
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata integrationdata analyticsdata mappingdata transformationETLdata modelingPythonAPI data structurespredictive modeling
Soft skills
consultative skillscommunication skillscollaborationdocumentationclient-service orientationtechnical discussion leadershipproblem-solvingattention to detailanalytical thinkingstakeholder engagement
