Data Architect

Startekk Inc; Dallas (TX); On-site; USD 100,000 - 150,000; Full time

Job summary

StarTekk Inc seeks an experienced data engineering professional to design enterprise data platforms and healthcare analytics models, aligning with regulatory needs and scalable data pipelines. The role focuses on designing data models (star and Snowflake schemas) and warehouse architecture to support analytics, reporting, and HIPAA-compliant data handling.

You will define ETL strategies across traditional and cloud environments, drive performance tuning, and implement data platform standards

Qualifications

• Experience with data modeling and warehouse design.
• Proficiency in ANSI SQL and data warehousing.
• Experience with traditional and cloud ETL tools.
• Knowledge of MongoDB and Cassandra.
• Familiarity with CI/CD in data platforms.

Responsibilities

• Design enterprise data platforms and models for healthcare analytics and reporting.
• Design data models (star and Snowflake schema) and warehouse architecture.
• Define ETL strategy, traditional and cloud.
• Drive performance tuning and data platform standards.

Tools

Data modeling

AWS native data services

ANSI SQL

DWH

ETL tools (traditional and cloud)

MongoDB

Cassandra

CI/CD

Job description

• StarTekk’s adoption of Digital Transformation is to accelerate organizational growth, increase efficiencies and help Star Workforce achieve focused business goals. The Employee will help our organization to identify and bridge the gap that exists in the business by analyzing the data, scale and support digital transformation initiatives.

Job Description

Summary: Design enterprise data platforms and models for healthcare analytics and reporting.

• Design data models (Star and Snowflake schema) and warehouse architecture
• Define ETL strategy, traditional and cloud
• Drive performance tuning and data platform standards

Must have: Data modeling, AWS native data services, ANSI SQL, DWH, traditional and cloud ETL tools, MongoDB, Cassandra, CI/CD.

Qualifications

Data modeling, AWS native data services, ANSI SQL, DWH, traditional and cloud ETL tools, MongoDB, Cassandra, CI/CD.

Additional Information

• Understanding of healthcare applications and business processes.
• Knowledge of HIPAA compliance requirements.
• Experience handling Protected Health Information (PHI) securely.
• Healthcare or other regulated industry experience is preferred.
• Candidates should have relevant hands-on experience in Salesforce (SFDC) automation testing.
• Experience with functional, regression, and integration testing is preferred.
• Strong communication and collaboration skills are expected.