JobDescription: BNSF Railway is seeking aqualified Data Architect to workwith IT professionals and business leaders toprovide services in support of thedevelopment of BNSF’s future state dataarchitecture and applicationmodernization activities. The candidate willbe in an expert role and workclosely with Business, DBA, ETL and DataManagement teams providing solutionsfor complex Data relatedinitiatives. The candidate must have goodtechnical and communication skillscoupled with the ability to mentor effectively.
Responsibilities:
- Development of conceptual, logical, and physical data models to support our existing and future Enterprise Data Architecture
- Participation in quality assurance of conceptual, logical, and physical data models
- Ensure data decisions are consistent and best practices are adhered to
- Ensure data definitions, data dictionary and data lineage are kept up to date and accessible
- Data quality review and assessment
- Mentoring and education, along with technical guidance and direction on data modeling/design and metadata requirements to data designers in the application development teams utilizing Agile development processes
Technical/ Business Skill requirements:
- Experience in designing data models for NoSQL environments such as Kafka, Cassandra, MarkLogic, and MongoDB
- Experience designing data model structures for reuse
- Experience designing XML Schema (XSD) and JSON Schema data models
- Experience applying Domain Driven Design (DDD) methods to design of conceptual data models at various levels of abstraction
- Experience in designing, logical and physical relational data models
- Knowledge of data naming standards and requirements for good data definitions
- Knowledge in using data quality and data governance tools (Information Analyzer & Quality Stage, Information Governance Catalog)
- Knowledge of Agile development and the Scaled Agile Framework and application to data design
- Knowledge of dimensional modeling, data warehousing and Big Data concepts
- Knowledge of current trends in data technologies: data services, data virtualization, data integration, Master Data Management, Big Data
- Knowledge in a variety of database, ETL, and application concepts, practices and procedures
- Experience with modeling tools such as PowerDesigner, Hackolade and Altova XML Spy
- Knowledge of the railroad and/or freight transportation industry
Professional/ Personal Skill requirements include:
- Exceptional and clearly understandable English in support of both verbal and written communication requirements
- Experience in effective communication at different levels (i.e. junior team members, peers, management, senior management) of the organization
- Experience in providing technical data design guidance and direction
- Ability to facilitate small groups of application development and/or business users during data requirements and design sessions
- Strong leadership skills
- Strong problem solving skills
- Excellent interpersonal skills
- Ability to work with business and development teams to convey the value of enterprise data modeling, data quality and data governance practices
RequiredSkills:
- 10 years of Data experience – preferabley 5 as an architect
- NoSQL experience - Kafka, Cassandra, MarkLogic, and MongoDB
- 5 years of ETL experience