REQT: Direct End Client: Senior Data Architect @ Seattle, WA Hybrid

Overview

Senior Data Architect

Seattle, WA
Hybrid Only Locals

Longterm contract

Candidates with prior experience working for State Government clients are preferred.

IN PERSON INTERVIEWS

Designs and builds relational databases. Develops strategies for data acquisitions, archive recovery, and implementation of a database. Cleans and maintains the database by removing and deleting old data. Must be able to design, develop and manipulate database management systems, data warehouses and multidimensional databases. Requires a depth and breadth of database knowledge that shall help with formal design of relational databases and provides insight into strategic data manipulation.

Responsible for making sure an organization’s strategic goals are optimized through the use of enterprise data standards. This frequently involves creating and maintaining a centralized registry of metadata. Has working knowledge of EIR Accessibility standards and assistive technologies. Ensures that all user interfaces for database administration and inputting, viewing, outputting data(via reports) are compliant with accessibility standards.

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.

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 10 | Required | Experience in data architecture, data modeling, and data warehousing on-prem and cloud technologies
• Years 10 | Required | Experience with business intelligence and big data solutions.
• Years 10 | Required | Experience with healthcare data standards like FHIR, CCDA, and HL-7 would be a plus.
• Years 10 | Required | Proven experience in leading and managing advanced analytics projects.
• Years 10 | Required | Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is required.
• Years 10 | Required | Experience in developing, deploying, and managing applications and data storage on these platforms.
• Years 10 | Required | Strong knowledge of data architecture principles and best practices.
• Years 10 | Required | Proficiency in SQL and other database technologies.
• Years 10 | Required | Knowledge of advanced analytics tools and strategies.
• Years 10 | Required | Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
• Years 10 | Required | Ability to lead teams and manage complex projects.
• Years 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.
• Years 10 | Required | Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting.
• Years 10 | Required | Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.
• Years 10 | Required | Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability.
• Years 10 | Required | Experience with ETL tools, data integration platforms, and APIs.
• Years 10 | Required | Experience with EHR integration, APIs, and real-time streaming.
• Years 10 | Required | Experience in architecting and designing ETL pipelines using Informatica tools.