Role – Application Developer
Location - Day 1 Onsite Nashville, Tennessee
Duration – 12 Months
Job Description
Data Analysis & Logical Modeling
• Architect and oversee enterprise-wide data modeling initiatives
• Lead the development of scalable data models for enterprise applications
• Develop and enforce best practices for schema evolution and data
interoperability
• Define data modeling standards and frameworks for the organization
• Work with stakeholders to implement data governance and security controls
• Perform advanced data analysis to inform design decisions and ensure
alignment with business needs.
• Create logical data models or object models of moderate complexity to address
business challenges.
• Develop data modeling automation frameworks to enhance consistency
• Implement advanced metadata management and data quality monitoring
• Define data transformation requirements and implement efficient solutions.
• Implement enterprise data management practices, standards, and frameworks for
Data Integration
• Ensure data governance and security best practices are followed
• Participate in code reviews and provide feedback on SQL queries and ETL
pipelines
• Build automated validation processes for data integrity checks
Collaboration with Data Product Owners
• Partner with Data Product Owners to gather and refine requirements for data
products.
• Work with senior leaders to define enterprise data strategy
• Translate business needs into technical designs that align with
organizational goals.
• Drive adoption of standardized data modeling frameworks
• Conduct stakeholder meetings to review and validate data models
• Work closely with data engineers to implement complex models
• Advocate for data quality and integrity across all projects
Business System Architecture Knowledge
• Demonstrate expertise in core business applications and support systems.
• Understand and apply communication protocols and interfaces used by business
systems to enable efficient data integration.
• Ensure high availability and scalability in data models
• Evaluate the adoption of modern data storage and processing paradigms
• Oversee cloud data architecture across multiple business domains
• Evaluate and recommend new data modeling tools and technologies
• Optimize cloud data structures for performance and scalability.
• Translate project-specific requirements into a cloud structure that meets
those requirements, as well as taking into account the project’s resource use
and scalabi
Email is the best way to reach me
CONNECT WITH ME ON : https://www.linkedin.com/in/allen-christopher-5b3161236/