Sr. Data Architect healthcare

Sr. Data Architect – Healthcare, San Diego, CA. Salary: $pay$$.

• Implement an enterprise HDFS environment that provides long-term support to Sharp Health Care advanced analytics.
• Develop and maintain a sustainable process for development and delivery of assignments, and contribute ideas to expand tools and technology.
• Apply coding and testing standards to determine project requirements and timelines based on functional specifications, client requirements, and system design.
• Assist in adopting agile workflow for development projects and support existing tools for the enterprise data warehouse and analytics program.

• Determine design and implementation strategy for large‑scale databases using accepted frameworks and tools.
• Develop a strategic plan for the overall architecture of the Data Analytics platform, including the data warehouse and other analytic databases.
• Provide oversight to architects and developers, ensuring optimal system performance and throughput.
• Design and communicate physical data models to database administration and other technical resources.
• Optimize or revise existing data models and ETLs to ensure optimal performance.
• Approve logical and physical models created by developers or architects before submission to database administration.
• Design and implement logical, physical, and operational models for all large projects.
• Review model design for new data sources, ensuring standards are followed.
• Set the standard and approach for resolving data quality issues and ensure follow‑through to correction.

• Analyze, design, program, document, and maintain computer application software and database files using standard programming conventions.
• Interpret and translate functional specifications into efficient code.
• Assist technical management in setting code standards to ensure efficient processing.
• Develop a process moving toward a more agile approach to code delivery within the Decision Support team.
• Provide third‑tier support in solving technical problems and developing coding solutions.
• Perform code reviews using sound knowledge of IS principles and department specifications.
• Document file structures, programming constructs, installation and operating instructions, and other technical features of applications.
• Use standardized naming conventions and exhibit structured programming methodology in code.
• Ensure that production delays do not occur due to negligence or failure to follow proper procedures.

• Demonstrate consistent leadership with team and clients to promote customer satisfaction and team development.
• Develop a mentoring program for technical team members to grow technical skills and overall architectural knowledge.
• Recommend and develop training programs to improve the effectiveness of the analytic technical team.
• Supervise and perform annual reviews of data architects within the team.
• Communicate expectations and priorities, delivering effective communication that sets appropriate internal and external expectations.
• Provide leadership in implementing technical products and participate in all software and OS upgrades.
• Manage client interactions to ensure understanding, agreement, and attainment of project goals.
• Proactively communicate completion dates and delays.
• Train new IS staff in system functions to maximize user effectiveness.
• Engage with other departments to understand system changes that may affect analytic applications.
• Report activity monthly or as established by management, requiring minimal supervision.
• Perform independent departmental tasks not specific to data architecture.
• Set standards for technical management of data quality improvement processes and offer suggestions to improve customer satisfaction, service levels, and…