Vacancy expired!
- Bachelor?s degree in computer science, information technology, software engineering or a related field
- 7 years of experience in database administration, application development, data integration, data modeling and data management
- 7 years of experience with data quality management, reference data management, master data management, ODS/graph management, enrichment and analytics, metadata management, integrations and service standards, data lakes or governance (architectural and technical)
- 7 years of experience with relational data modeling, big data modeling, conceptual data modeling and logical data modeling
- 5 years of experience with building data solutions
- 5 years of experience with system architecture and normalization considerations
- 5 years of experience with inter-system communication strategies, including ESB and web services
- Master?s degree in computer science, information technology, software engineering or a related field preferred
- Experience with enterprise architecture modeling languages or frameworks such as ArchiMate, TOGAF, SOA or CMMI?
- Knowledge of and experience with Open Group Standards
- Experience with SAFe methodology
- General experience with scripting and data language like Python, PowerShell, SQL and Bash
- Experience with MapReduce syntax such as Hadoop stack
- Create and evolve the technology road maps that define company data architectures and enable a solid company data strategy
- Ensure data solutions are built for performance, fault tolerance and security with reusable patterns
- Develop best practices for knowledge and data discovery to deliver impactful data-driven decision support systems, while leading others to technical success by understanding and applying best practices
- Take ownership of defining best practices for change management, source control and deployment methodologies for big data solutions
- Identify and enable data capabilities across the company
- Design integrations with other data sources
- Research, analyze and promote data standards to be used across the company
- Set and lead standards discussions among big data engineers, data scientists and other data engineers across Technology
- Architect data solutions
- Identify and implement build vs. buy strategies with regard to technology
- Monitor and identify performance trends and work with teams to improve processes and procedures
- Partner with the business and Technology to deliver road maps
- Work with the team to build a holistic view of the company's strategy, processes, information and information technology assets
- Define best practices and internal guidelines
- Research new technologies
- Mentor associate data architects and other team members outside of their direct team
- Capture program metrics
Vacancy expired!