Senior Data Architect & Analytics Lead

Overview

On Site
Hybrid
Depends on Experience
Contract - W2

Skills

Data Architect
data architecture
data modeling
data warehousing
business intelligence
big data
FHIR
CCDA
HL-7
Azure
AWS
Google Cloud
SQL
ETL
EHR
APIs
Python
Java
Scala
Healthcare
TOGAF
Extract
Transform
Load
HL7
Software Development Methodology
IaaS
Informatica

Job Details

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.

CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

10

Required

Experience in data architecture, data modeling, and data warehousing.

10

Required

Experience with business intelligence and big data solutions.

10

Required

Experience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus.

10

Required

Proven experience in leading and managing advanced analytics projects.

10

Required

Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.

10

Required

Experience in developing, deploying, and managing applications and data storage on these platforms.

10

Required

Strong knowledge of data architecture principles and best practices.

10

Required

Proficiency in SQL and other database technologies.

10

Required

Knowledge of advanced analytics tools and strategies.

10

Required

Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.

10

Required

Ability to lead teams and manage complex projects.

10

Required

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.

10

Required

Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting.

10

Required

Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.

10

Required

Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.

10

Required

Experience with ETL tools, data integration platforms, and APIs.

10

Required

Experience with EHR integration, APIs, and real-time streaming.

10

Required

Experience in architecting and designing ETL pipelines using Informatica tools.

10

Required

Design and model data for cloud-based data architecture solutions using Snowflake as the primary data platform.

8

Preferred

Experience in implementing and deploying big data applications

8

Preferred

Must have hands-on expertise in Python and/or Java/Scala

8

Preferred

Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps

8

Preferred

Healthcare industry experience preferred

8

Preferred

Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization.

8

Preferred

Consulting and Facilitation Skills.

8

Preferred

Customer-focused ability to communicate across all levels of the organization.

8

Preferred

Proactive Leadership style; self-starter and strong attention to detail.

3

Preferred

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.