Job Title: Solutions Engineer – Domain

Job ID: 2025-13461

Job Location: Deerfield, IL (Hybrid – 3 days/week onsite)

Job Travel Location(s):

# Positions: 3

Employment Type: C2H

Candidate Constraints: 

Duration: Long Term

# of Layers: 0

Work Eligibility: All Work Authorizations are Permitted – No Visa Transfers

Key Technology: Azure, Spark, SDK, SQL/NoSQL, Python/Node/Java

Job Responsibilities:

Act as the lead engineer for each domain

Collaborate with Solution Architects to ensure understanding needed for engineering level guidance to nearshore teams

Translate architecture design to engineering level guidance

Own specifying architectural designs into sprint-ready engineering tasks for assigned domain

Ensure delivery to the solution architecture within domain

Answer design questions for sprint teams

Participate in backlog refinement sessions to align team with the architecture

Act as the internal technical expert supporting Product design and Engineering teams on demonstrations and technical discussions.

Create/Update documentation such as solution design patterns and engineering standards.

Lead technical discussions around APIs, integrations, data flow, compliance and security.

Serve as a trusted advisor on best practices, technical implementation, and scalability.

Skills and Experience Required:

Required:

8+ years in full-stack or backend software development.

Experience with Python, Spark, Databricks, Azure Event Hub, ADF, Delta Tables

Strong understanding of Spark and Azure data services.

Experience with cloud platforms, preferably Azure.

Familiarity with integrations, SDKs, and system architecture design.

Knowledge of databases (SQL and/or NoSQL) and data modeling.

Experience with scripting or programming languages (e.g., Python, Node.js, or Java).

Excellent communication skills, both written and verbal.

Ability to explain complex technical concepts to non-technical stakeholders.

Strong problem-solving and troubleshooting skills.

Highly collaborative and customer-focused mindset.

Desired:

Exposure to DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes).

Pharmacy Business domain experience

Tech Stack: Python, Spark, Databricks, Azure Event Hub, ADF, Delta Tables