Sr. Data Architect & Analytics Lead

Largeton Group; Austin (TX); Hybrid; USD 130,000 - 160,000; Full time

Job summary

A prominent technology consultancy in Austin is looking for a Senior Data Architect & Analytics Lead. This role involves designing robust data structures, leading analytics initiatives, and collaborating with cross-functional teams. Candidates should have over 10 years of experience in data architecture, proficiency with SQL, and knowledge of cloud platforms like Azure and AWS. The position offers full-time employment with a mix of onsite and remote work options.

Qualifications

• 10+ years of experience in data architecture, modeling, and warehousing.
• Proven experience with business intelligence and big data solutions.
• Expertise in healthcare data standards such as FHIR and HL-7.

Responsibilities

• Design and implement robust data structures for analytics enhancements.
• Utilize advanced analytics tools for decision-making insights.
• Collaborate with teams to align data strategies with goals.

Skills

Data architecture

Data modeling

Data warehousing

Business intelligence solutions

Healthcare data standards (FHIR, HL-7)

Cloud platforms (Azure, AWS, Google Cloud)

SQL proficiency

Advanced analytics tools

ETL tools

Data integration platforms

Tools

Informatica

Snowflake

Python

Java

Scala

Job description

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.

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