Sr. Data Architect

Responsibilities

• Required Qualifications 8 Years experience that includes logical and physical data modeling in a large data warehouse environment with a database architecture comparable to Sharp's.
• Experience with Big Data technology including implementation of a HADOOP environment using common tools for data movement and development.
• Experience with complex systems integration, creating highly available
• systems, and experience with industry standard data modeling tools.
• Experience in designing architecture to support data virtualization
• and advanced analytics operations.
• Experience with leadership, mentoring and training other technical staff members.
• Preferred Qualifications Bachelor's Degree in Computer Science, Business or related area.
• Essential Functions
• Data architecture
• Determines design and implementation strategy for large scale databases within Information Systems using accepted framework and tools.
• Develops a strategic plan for the overall architecture of the Data Analytics platform including the data warehouse and other analytic databases as needed.
• Provides oversight to architects and developers in the system architecture and design strategy for all new projects to ensure optimal system performance and throughput.
• Designs and communicates physical data model to data base administration and other technical resources.
• Optimizes or revises existing data models and/or ETLs to ensure optimal performance.
• Approves all new logical and physical models created by developers or architects prior to submission to database administration for execution.
• Responsibility for the design and implementation of logical, physical and operational models for all large projects.
• Reviews model design for all new data sources to ensure that standards are followed.
• Oversee implementation strategies and develop necessary models and ETL to leverage the data warehouse to meet strategic goals and opportunities.
• Sets the standard and approach for resolution of data quality issues and ensure follow-through to correction.
• Develop code
• Analyzes, designs, programs, documents, and maintains computer application software and database files using standard programming conventions.
• Interprets and translates functional specifications into efficient and effective code development.
• Assists technical management in setting code standards to ensure efficient processing.
• Develops process to moving towards a more Agile approach to code delivery within the Decision Support team.
• Third tier support in determining effective means to solving a technical problem and developing a coding solution.
• Performs code review using sound knowledge and judgment regarding IS principles and department specifications.
• Documents file structures, programming constructs, installation and operating instruction and other technical features and project status of applications developed or installed by the department.
• Exhibits structured programming methodology in code.
• Uses standardized naming conventions in all code development.
• Ensures that production delays do not occur due to negligence or failure to follow proper procedures.
• Leadership
• Demonstrates consistent leadership role with team and clients to promote customer satisfaction and team development.
• Develops a mentoring program for all technical team members to grow technical skills and improve overall architectural knowledge.
• Recommends and/or develops a training program designed to improve the overall effectiveness of the analytic technical team.
• Supervises and performs annual r

Benefits

Additional Information

Hours : Shift Start Time: Variable Shift End Time: Variable AWS Hours Requirement: 8/40 - 8 Hour Shift Additional Shift Information: Weekend Requirements: As Needed On-Call Required: No Hourly Pay Range (Minimum - Midpoint - Maximum): $72.290 - $93.280 - $104.470 The stated pay scale reflects the range that Sharp reasonably expects to pay for this position. The actual pay rate and pay grade for this position will be dependent on a variety of factors, including an applicant's years of experience, unique skills and abilities, education, alignment with similar internal candidates, marketplace factors, other requirements for the position, and employer business practices.

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