Data Architect

**Qualifacts+Credible**, along with the recent acquisition of **InSync Healthcare Solutions**, is one of the largest behavioral health and human services electronic health record (EHR) vendors in the US. For more than 20 years, our mission has been to partner with customers to support and extend their ability to deliver quality care and improve the lives of the clients they serve.

The company offers multiple EHR solutions (**CareLogic**, **Credible**, and **InSync**) to clinics and practices serving over 10 million patients in all 50 US states.

**The Opportunity**:
The **Data Architect for the Data Engineering Team** will design complete and sophisticated data solutions. Will define selection criteria for technical data platforms, data specifications, data exchange among components, and systemic properties for data technology compatibility. Will define and maintain Metadata Architecture i.e., data taxonomies and data models. Will adhere to best practices of Cloud data architecture and data engineering techniques.

**Your Responsibilities**:

- Design and architect scalable, distributed on premise and cloud-based services for behavioral healthcare data analytics solutions.
- Provide comprehensive, expertise, collaboration, and technical support to data engineering/analytics teams, including hands-on efforts, to ensure that the proposed data architectures are viable and have successful rollouts.
- Lead enterprise data solution assessments and design for the end-to-end platform.
- Analyze complex functional and non-functional data requirements and make appropriate design adjustments, as well as provide effort estimates to support project management.
- Carry out performance analysis of existing and proposed data solutions against difficult-to-achieve performance requirements.
- Define and support data architecture models and write the necessary code, frameworks, and documentation to distribute to the technical community to leverage in technical solutions.
- Work with business stakeholders to ensure business vision and requirements are addressed correctly.
- Effectively communicate design concepts to both technical and non-technical stakeholders.
- Conduct evaluation of new data technology platforms and components.
- Create and participate in the establishment of reference data architecture and data models.
- Oversee the implementation of data platform improvements and business projects.

**Skills we need**:

- Technical/bachelor’s degree in Systems Engineering or related careers.
- Intermediate English level.
- Solid exp. as a Data Engineer and Data Architect, working in Data Development within complex and multiplatform distributed environments.
- Experience with AWS services such as S3, EMR, EC2, and Amazon RedShift preferred.
- Experience in messaging platforms, protocols, and techniques like Kafka, and event sourcing.
- Experience in a wide variety of data storage technologies, from RDBMS to NoSQL.
- Experience with enterprise data warehouse technologies including Snowflake.
- Experience in developing and performance tune ETL/ELT data processes. Using Talend or DataBricks preferred.
- Ideal knowledge of writing code with Scala, Phyton or Java.
- Ideal knowledge of Data Visualization architectures. Looker preferred.
- Certified Data Management Professional (CDMP) preferred or deep knowledge about Data Management Body of Knowledge ( DMBoK2 ) framework.

**What we offer you**:

- Economic bonus and merit review.
- Full Health Insurance (EPS and oncologic) for you and your direct dependents.
- Fully paid English lessons and Udemy membership.
- All legal benefits (CTS, 30-day paid vacation per year, life insurance, etc.).
- Generous holidays policy.

We are an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, age, disability, or any other characteristic.