What are the responsibilities and job description for the Database Architect (W2) position at Snowrelic Inc?
Role: Database Architect
Location: Austin, TX (Hybrid)
The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the 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.
Position will be 2 days remote with 3 days (Mon & Wed & Thurs) required to be onsite. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius).
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.
Actual
Years
Experience
Years
Experience
Needed
Required/
Preferred
Skills/Experience
10
Required
Experience in data architecture, data modeling, and data warehousing on-prem and cloud technologies
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.
10
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
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.
3
Location: Austin, TX (Hybrid)
The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the 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.
Position will be 2 days remote with 3 days (Mon & Wed & Thurs) required to be onsite. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius).
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.
Actual
Years
Experience
Years
Experience
Needed
Required/
Preferred
Skills/Experience
10
Required
Experience in data architecture, data modeling, and data warehousing on-prem and cloud technologies
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.
10
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
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.
3