Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Business Intelligence
Azure
AWS
GCP
SQL
AI
machine learning
Big Data
ETL
API
EHR
Job Details
Description:
The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the HHSC CDA team. This position is designed for a seasoned professional with in-depth expertise in data design and advanced analytics. Responsibilities include designing and implementing robust data structures to support analytics projects, developing comprehensive database and table designs for optimized data storage and retrieval, and utilizing advanced analytics tools and techniques to extract insights that facilitate decision-making. The successful candidate will collaborate with cross-functional teams to ensure alignment of data strategies with organizational goals and provide thought leadership on data modeling and analytics best practices. The ideal applicant will have proven experience as a Data Architect or similar role, with a strong understanding of data modeling, database design, and data governance principles, alongside familiarity with analytics tools and frameworks. Excellent communication and collaboration skills are essential for effectively working across teams. Join us to be part of a dynamic team dedicated to transforming healthcare through innovative data solutions, where your expertise will significantly contribute to the success of our initiatives at HHSC.
Required Skills:
- Experience in data architecture, data modeling, and data warehousing.
- Experience with business intelligence and big data solutions.
- Experience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus.
- Proven experience in leading and managing advanced analytics projects.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.
- Experience in developing, deploying, and managing applications and data storage on these platforms.
- Strong knowledge of data architecture principles and best practices.
- Proficiency in SQL and other database technologies.
- Knowledge of advanced analytics tools and strategies.
- Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
- Ability to lead teams and manage complex projects.
- Proficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud.
- Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting.
- Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.
- Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
- Experience with ETL tools, data integration platforms, and APIs.
- Experience with EHR integration, APIs, and real-time streaming.
- Experience in architecting and designing ETL pipelines using Informatica tools.
- Design and model data for cloud-based data architecture solutions using Snowflake as the primary data platform.
Preferred Skills:
- Experience in implementing and deploying big data applications
- Must have hands-on expertise in Python and/or Java/Scala
- Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps
- Healthcare industry experience preferred
- Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization.
- Consulting and Facilitation Skills.
- Customer-focused ability to communicate across all levels of the organization.
- Proactive Leadership style; self-starter and strong attention to detail.
- The Open Group Architecture Framework (TOGAF), Cloud Solution Architecture on Azure, Amazon Web Services (AWS) and/or Google Cloud Platform (Google Cloud Platform) Certification.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.