Data Modeler - Full-time / Part-time

Job Title: Data Modeler
Location: Richmond, VA

Hybrid - 3 days per week onsite in Richmond, VA office

Position Summary:
Participates in defining an architectural vision and solution architecture which aligns with the enterprise architecture strategy, technology, and platform choices. Describes the solution intent and the associated operating environment, determines the primary systems/subsystems and their interfaces, defining non-functional requirements and architectural runway to support new epics/features. Ensures the solution is fit for purpose and use by working with stakeholders, vendors/service providers, and evaluating the impact of strategic design decisions.
Works across business and technology to create the solution intent and architectural vision and evolves it to an emerging backlog. Consults the business to clearly understand the business problems and technology to understand the technology challenges of the solution and finds creative solutions through practical experiments and POCs. Leads rapid shaping of a high-level architecture with details filled in with emerging business requirements; ensures architecture is flexible and modular and designed to adapt easily. Utilizes the defined best practices, templates, and documentation to create architectural designs; suggests improvements to best practices and templates through practical knowledge.
Works with Product Manager/Owner to plan and prioritize technology focused backlog items for the architecture runway to enable business epics/features. Clarifies the architecture for the development teams to support implementation and provides solution options to resolve any architectural impediments. Performs design and code reviews to ensure all non-functional requirements for a solution are sufficiently met (e.g., security, performance, maintainability, scalability, usability, and reliability). Educates team members on the technology practices, standardization strategies and best practices to create innovative solutions.

Required Skills:

• Erwin
• NoSQL
• Oracle Exadata
• Create/maintain conceptual, logical, physical

Requirements:
• 5+ years of hands-on experience in architecture of enterprise data solutions, applications, and integrations
• Knowledge of data architecture and design patterns and the ability to apply them
• Hands-on experience with modern enterprise data architectures and data toolsets (ex: data warehouse, data marts, data lake, modeling tools, profiling tools)
• Strong communication skills with ability to collaborate with multiple teams, both technology and business executives
• In-depth understanding of structured and unstructured data principles
• Good knowledge in various ETL tools and data sanitization
• Proven analytical skills
• Prior experience with database systems (e.g., Exadata, NoSQL, Cassandra, Neo4j, etc.)
• Prior experience with designing and executing data management strategies
• Prior experience with big data and eco system (e.g., Hadoop, Hive, pySpark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, S3 etc.)