28 Oct
Data Information Architect II
Vacancy expired!
- Lead the design, development, implementation, and maintenance of complex data systems and solutions.
- Develop conceptual, logical, and physical data models to support data analysis and business intelligence
- Create and maintain current- and target-state data architectures
- Define and manage standards, guidelines, and processes to ensure data quality
- Ensure technology solutions are in alignment with data architecture principles and target state
- Oversee end-to-end data life cycle management activities
- Work with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
- Evaluate and recommend emerging technologies for data management, storage, and analytics.
- Work with business and technical stakeholders to develop data systems strategies and solutions
- Review and provide guidance to infrastructure and development efforts which impact data systems
- Contribute to overall architecture initiatives through interaction with other roles in the enterprise architecture team
- Research and propose innovations in data systems which facilitate overall enterprise data strategy
- Contribute substantially to the design of enterprise disaster recovery and business continuity strategy from the perspective of data systems
- Develop and actively participate in data governance initiatives
- Participate in research and provide recommendations for data management technologies and tool selection
- Lead analysis and recommend solutions for security requirements related to data systems
- Bachelor's degree in Computer Science or Information Technology or equivalent work experience
- Minimum 8 years of experience in roles related to data systems in software development efforts (e.g. DBA, data modeling, SQL development, etc.)
- Minimum 2 years serving as a Data Architect
- Good knowledge of data management, data integration, and database development techniques
- Ability to relate architectural decisions and recommendations to business needs
- Ability to regularly learn and adopt new technology
- Strong analytical and problem-solving skills
- Ability to communicate across all levels of the organization and work with diverse projects teams
- Experience in data warehousing, data modeling, and/or data analysis
- Experience with database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Teradata)
- Experience with ETL and other business intelligence tools
- Experience developing reference architecture, principles and standards
- Excellent oral and written communication skills
- Ability to explain complex technical information to technical and non-technical contacts
- Experience implementing both OLTP and OLAP database systems including data warehouses
- Experience with distributed application architecture and the database related requirements
- Experience with implementation and support of Cloud data solutions
- Experience in building disaster recovery and business continuity strategies with regards to data systems
- Deep Experience in both Microsoft SQL Server and Oracle databases
- Experience fully implementing data governance processes
- Experience using Erwin Data Modeler
Vacancy expired!