Job Description
One of the largest supply chain and logistics organizations is looking for a Senior Data Architect to provide leadership, oversight, and database design for complex initiatives. This individual will be responsible for data strategy, planning and implementation of data architecture, data modeling and design, data integration, data security, data quality, and governance of diverse data types. They will be performing in depth data modeling and database design and architecture; builds, optimizes, and maintains conceptual and logical database models. They will be responsible for integrating new systems with existing warehouse structure and refines system performance and functionality; develops strategies for enterprise data management and data governance. They will be working closely with technical leads, engineering teams and architecture stakeholders for technical issues and architecture framework capabilities for use by other development teams. This individual must have the ability to collaborate with technical executives on strategy, project portfolio management, best practices. The ideal candidate still has the ability to be hands on in the weeds as a technical resource in addition to creating complex architecture designs. If you are looking to grow your career with Data Architecture, this is the opportunity to join one of the best Supply Chain organizations in the world!
Required Skills & Experience
- 10+ years of relevant IT industry experience, 3-5+ years experience working as a dedicated data architect
- Industry specific experience within Supply Chain, Transportation or Warehousing
- Proven technical experience with Data Modeling, API integration and Advanced Analytics
- Ability to be hands on with API work and Data Modeling
- Strong Cloud experience either AWS or Azure is acceptance (Ryder is using Azure)
- Experience working with ER/Studio (data architecture and database design software developed by IDERA)
- Strong ETL programming skills including experience with pipeline orchestration tools, logging, monitoring & alerting, deep troubleshooting, and automated testing & deployments
- Strong experience with SQL, data transformations, migration, statistical analysis, and troubleshooting across more than one Database Platform (Oracle, PostgreSQL, Redshift, Amazon RDS for Oracle etc.)
- Experience in translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
- Experience working in all phases of full life cycle data analytics development: Requirements, Architecture, Design, Testing, and deployment
- Experience working across multiple supply chain projects/ products, Excellent communication skills
Nice to Have Skills & Experience
- Snowflake experience
- Strong Azure cloud experience
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.