Database Architect

Location : Austin, Texas 78751

Duration : 8 months

Position will be 2 days remote with 3 days (Mon & Wed & Thurs) required to be onsite at the location listed above. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius). Subject to change per the hiring team.

Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

• 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 organizations 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 clients 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 the client.

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

• Experience in implementing and deploying big data applications.
• Must have hands-on expertise in Python and / or Java / Scala.
• Experience with structured Enterprise…