Largeton Group
Sr. Data Architect & Analytics Lead
Location:
Austin, TX. 2 days remote, 3 days onsite (Mon, Wed, Thu). Candidates must be local to the Austin area (within 50‑mile radius).
Duration:
Initial contract for 1,288 hours through 8/31/26 with anticipated extensions.
Mode of Interview (MOI):
Video.
Must Have Public Sector and State Client Experience:
Yes.
Responsibilities The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the HHSC CDA team. Key responsibilities include:
Designing and implementing robust data structures to support analytics projects.
Developing comprehensive database and table designs for optimized data storage and retrieval.
Utilizing advanced analytics tools and techniques to extract insights that facilitate decision‑making.
Collaborating with cross‑functional teams to ensure alignment of data strategies with organizational goals.
Providing thought leadership on data modeling and analytics best practices.
Working closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
Minimum Requirements
10+ years of experience in data architecture, data modeling, and data warehousing on‑prem and cloud technologies.
10+ years of experience with business intelligence and big data solutions.
10+ years of experience with healthcare data standards such as FHIR, CCDA, and HL‑7 (preferred).
10+ years of proven experience leading and managing advanced analytics projects.
10+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
10+ years of experience 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, able to explain complex technical concepts to a non‑technical audience.
Ability to lead teams and manage complex projects.
Proficiency in cloud infrastructure management, including cloud‑based data storage, security considerations, and best practices.
Developer and maintainer of enterprise data models, data warehouses, and data lakes.
Evaluator and integrator of emerging technologies such as AI, machine learning, and big data analytics in healthcare.
Experience with ETL tools, data integration platforms, APIs, EHR integration, real‑time streaming.
Experience with Informatica tools for architecting and designing ETL pipelines.
Design and modeling of data for cloud‑based data architecture solutions using Snowflake.
Preferred Qualifications
Experience implementing and deploying big data applications.
Hands‑on expertise in Python and/or Java/Scala.
Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on‑premise‑to‑cloud migration roadmaps.
Healthcare industry experience.
Fundamental understanding of Information Management principles, IT processes, SDLC, architecture, and technologies adopted by an organization.
Consulting and facilitation skills.
Customer‑focused communication across all levels of the organization.
Proactive leadership style; self‑starter with strong attention to detail.
TOGAF, Cloud Solution Architecture on Azure/AWS/GCP certification.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology; Information Services.
Note: Referrals increase your chances of interviewing at Largeton Group by 2x.
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Austin, TX. 2 days remote, 3 days onsite (Mon, Wed, Thu). Candidates must be local to the Austin area (within 50‑mile radius).
Duration:
Initial contract for 1,288 hours through 8/31/26 with anticipated extensions.
Mode of Interview (MOI):
Video.
Must Have Public Sector and State Client Experience:
Yes.
Responsibilities The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the HHSC CDA team. Key responsibilities include:
Designing and implementing robust data structures to support analytics projects.
Developing comprehensive database and table designs for optimized data storage and retrieval.
Utilizing advanced analytics tools and techniques to extract insights that facilitate decision‑making.
Collaborating with cross‑functional teams to ensure alignment of data strategies with organizational goals.
Providing thought leadership on data modeling and analytics best practices.
Working closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
Minimum Requirements
10+ years of experience in data architecture, data modeling, and data warehousing on‑prem and cloud technologies.
10+ years of experience with business intelligence and big data solutions.
10+ years of experience with healthcare data standards such as FHIR, CCDA, and HL‑7 (preferred).
10+ years of proven experience leading and managing advanced analytics projects.
10+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
10+ years of experience 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, able to explain complex technical concepts to a non‑technical audience.
Ability to lead teams and manage complex projects.
Proficiency in cloud infrastructure management, including cloud‑based data storage, security considerations, and best practices.
Developer and maintainer of enterprise data models, data warehouses, and data lakes.
Evaluator and integrator of emerging technologies such as AI, machine learning, and big data analytics in healthcare.
Experience with ETL tools, data integration platforms, APIs, EHR integration, real‑time streaming.
Experience with Informatica tools for architecting and designing ETL pipelines.
Design and modeling of data for cloud‑based data architecture solutions using Snowflake.
Preferred Qualifications
Experience implementing and deploying big data applications.
Hands‑on expertise in Python and/or Java/Scala.
Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on‑premise‑to‑cloud migration roadmaps.
Healthcare industry experience.
Fundamental understanding of Information Management principles, IT processes, SDLC, architecture, and technologies adopted by an organization.
Consulting and facilitation skills.
Customer‑focused communication across all levels of the organization.
Proactive leadership style; self‑starter with strong attention to detail.
TOGAF, Cloud Solution Architecture on Azure/AWS/GCP certification.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology; Information Services.
Note: Referrals increase your chances of interviewing at Largeton Group by 2x.
#J-18808-Ljbffr