Data Architect - Claims Expert

MatchPoint Solutions is a fastgrowing young energetic global ITEngineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ireland UK Brazil and India. Through our culture of innovation we inspire build and deliver business results from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industryspecific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position please send over your updated resume. We look forward to hearing from you!

Data Architect Claims Expert

Duration: 6Month Contract

Location: Remote (Company based out of Franklin TN)

Pay rate: $75$80/hr on W2

Project Overview: We are seeking an experienced Data Architect with a deep understanding of claims processing in the healthcare sector for a 6month contract. The project involves the translation of 837/835 data into a dimensional data mart using Amazon Redshift within the AWS environment. The primary objective is to establish efficient data structures and workflows that facilitate the transformation and integration of claims data. A crucial aspect of this project is to correlate claims with our internal Encounter ID which is embedded in all clinical data and to eventually normalize patient information into a consolidated patient ID.

Responsibilities:

1. Claims Data Transformation: Lead the effort to translate 837/835 data into a dimensional data mart in Amazon Redshift ensuring optimal performance and scalability.
2. Integration with Clinical Data: Collaborate with internal teams to establish links between claims data and the internal Encounter ID present in clinical datasets.
3. Patient Data Normalization: Work towards normalizing patient information by developing a consolidated patient ID system aligning with industry best practices.
4. Guidance on Design Patterns: Provide expertise in healthcare data architecture offering guidance on the best design patterns for organizing claims data within the AWS environment.
5. Collaboration: Work closely with crossfunctional teams including data engineers analysts and business stakeholders to understand requirements and incorporate feedback into the data architecture.
6. Documentation: Create and maintain comprehensive documentation of the data architecture design decisions and implementation details.
7. Performance Optimization: Implement strategies for optimizing data retrieval and processing ensuring the system meets performance and efficiency standards. Qualifications:

• Deep Claims Experience: Significant experience working with claims data in the healthcare sector.
• Data Architecture Expertise: Proven track record in designing and implementing data architectures particularly in AWS environments with a focus on Amazon Redshift.
• Healthcare Vertical Knowledge: Indepth understanding of the healthcare industry including familiarity with industry standards regulations and best practices.
• Project Management Skills: Ability to manage project timelines milestones and deliverables effectively.
• Collaborative Mindset: Strong interpersonal and communication skills with the ability to work collaboratively within a remote team.
• ProblemSolving Skills: Demonstrated ability to analyze complex problems and propose effective scalable solutions.
• Coding Proficiency: While not a codingfocused role proficiency in relevant languages (e.g. SQL) is beneficial. Note: This is not just a coding position; we are seeking individuals with a strong background in healthcare data architecture and a demonstrated ability to guide design decisions in this domain.

Looking for a Data Architect with deep claims experience for a 6 month contract. The project is translating 837/835 into a dimensional data mart in Amazon Redshift. Part of this project will be to tie the claim to our internal encounter Id that is on all of our clinical data and eventually normalize patients into a consolidated patient ID. Not just looking for coders but people that have done this kind of work in the healthcare vertical and can help guide us in the best design patterns for organizing claims data.