Job Description

Job Title: Database Architect 3 (Hybrid)
Location: Austin , TX
Duration: 12 Months
 
Job Description:
8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected. 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 & 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

Additional Job Details and Special Considerations:
The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the client 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 the client.

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 (GCP) Certification.

 

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