Enterprise Data Architect

4 weeks ago

Richmond, United States CareerBuilder Full time

Job Title

:

Enterprise Data Architect
Location:

Richmond, VA
Duration: 9+months
Type: Contract

*Local Richmond, VA candidates required due to onsite requirement *
*candidates must interview ONSITE, NO exceptions *
*This position requires onsite 3 days a week with 2 remote *

Job Description:

The client Information Technology Division is seeking a senior Data Architect to manage and oversee the development and implementation of a cloud-based data management platform that will support the agency.
Enterprise data architect provides expert support across the enterprise information framework; data intake, data transformation, data quality, metadata and master data management, data virtualization, data services and consumption.
The candidate must have data security, cloud infrastructure, with knowledge of transportation related data preferred.

Responsibilities :

Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.
Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
Ensure that data strategies and architectures are in regulatory compliance.
Execute governance, stewardship, and frameworks for managing data across the organization,
Develop and promote data management methodologies and standards.
Select and implement the appropriate tools, software, applications, and systems to support data technology goals.
Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration.
Act as a leader and advocate of data management, including coaching, training, and career development to staff.
Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture.
Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture.
Identify and develop opportunities for data reuse, migration, or retirement.

Required Skills:

Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
Direct experience in implementing enterprise data management processes, procedures, and decision support.
Strong understanding of relational data structures, theories, principles, and practices.
Strong familiarity with metadata management and associated processes.
Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
Demonstrated expertise with repository creation, and data and information system life cycle methodologies.
Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on.
Ability to manage data and metadata migration.
Experience with database platforms and Understanding of Web services (SOAP, XML, UDDI, WSDL).
Object oriented programming experience (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.).
Experience with data processing flowcharting techniques.
Good knowledge of applicable data privacy practices and laws.

Personal Attributes:

Strong written and oral communication skills.
Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language.

Required:

Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.Ensure that data strategies and archite
Execute governance, stewardship, and frameworks for managing data across the organization,Develop and promote data management methodologies
Select and implement the appropriate tools, software, applications, and systems to support data technology goals
Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture.
Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture.
Hands-on experience with data architecting, data mining, largescale data modeling, and business requirements gathering/analysis.
Strong understanding of relational data structures, theories, principles, and practices.Strong familiarity with metadata management
Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
Demonstrated expertise with repository creation, and data and information system life cycle methodologies.
Experience with database platforms and Understanding of Web services (SOAP, XML, UDDI, WSDL). Object oriented programming experience (e.g, WebSphere
Experience with data processing flowcharting techniques. Good knowledge of applicable data privacy practices and laws.
Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language.

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