Senior Data Architect

Senior Data Architect

Job Code:
Company Name: Experienced Recruiting Partners
Job Location: Greensboro, North Carolina
Zip Code: 27405
Job Category/Title: Enterprise Architect
Employment Category: Full-time
Position Type: Senior Level
Travel Required: No
Interview Type:
Education: Associate Degree
Job Description: This position is for a Sr. Data Architect to join our Data Services team to work with our EA Information Architect to create, refine, and execute a company wide data strategy encompassing transactional and information systems. The Sr. Data Architect creates and maintains architectural best practices addressing data and technology in the context of business processes across the enterprise. The position provides leadership direction and accountability for strategic and operational data architecture and implementation. The Sr. Data Architect determines and develops architectural approaches and capabilities to meet business information needs.

Responsibilities:
• Work with Information Architect the development of future state enterprise data architecture and strategic plan for supporting both transactional and information systems across the enterprise
• Establish and maintain the Enterprise Data Model, including data dictionary, metadata registry and flows
• Develop data governance process and controls and ensure compliance with enterprise data architecture principles and standards for the various systems and components
• Full SDLC involvement to maximize the value of data resources in the enterprise including control and review of data development activities, data security, auditing, data quality and testing of business assets
• Assist in the development of application architectures, roadmaps and standards
• Lead analysis of the current IT data environment to detect critical deficiencies and prepare solutions for improvement
• Lead the identification and analysis of enterprise business drivers and requirements that drive the future state architecture
• Provide data consultation on complex projects and is considered to be a top level expert/contributor.

Requirements:
• 7-10 years of progressively responsible experience in database management and data architecture supporting transactional and informational systems enterprise wide
• 5+ years of experience designing and implementing data architecture and standards
• Undergraduate Degree in Computer Science or IT
• Demonstrated track record of successful Enterprise Data Model implementations across transactional and informational data environments and an understanding of canonical data and XML schema modelling.
• Demonstrated expertise in a variety of database, ETL, data tools and application concepts, practices, and procedures.
• Experience in sizing and configuration of data architectures
• Experience in the development of governance frameworks to help define logical, physical and technical artifacts for the enterprise.
Operating System: Linux, AIX, Wintel
Databases: DB2/400, Oracle, SQL Server, Hadoop, Greenplum
Tools: Replication, Mimix, Active Data Guard, Data Modeling, Infosphere Data Architect, Data Security, IBM Guardium, Test Data Management, DataMaker, Change Management, Turnover, Reporting, Cognos, Analytics/Modeling SAS, R, Text mining, PERL, Data Integration (ETL), IBM Datastage, Python, Java, Hadoop related technologies - HIVE, PIG, HAWQ, etc

Job Specific Specialized Knowledge & Skills:
• Strong analytical and problem solving skills
• Works well independently and collaboratively with others
• Excellent verbal/written communication and documentation skills
• Defining and documenting reference architectures and design options with recommendations
• Strategic and tactical planning skills for defining the overall strategies, principles, architecture vision and standards for data within the enterprise.
• Able to obtain buy-in from stake-holders, management, business partners, and propagate vision throughout the company.
• Establishes and educates development teams in regards to the data development framework, as well as governance.
• Works with strategic vs. tactical requirements of the organization to fulfill the business needs.
• Focuses on partnering to propagate the data architecture vision across IT and the enterprise and ensures enterprise data is managed for accuracy, currency and usage.
• Fosters corporate understanding of the meaning of the data (meta data management).
• Understands and communicates the data requirements of any future infrastructure needs.
• Facilitates and documents the agreements on appropriate corporate data and its usage (master data management).
• Promotes the use a toolset to facilitate: mapping of data sources, data quality, data movement documentation, metadata management and data modeling.
Job Expiry Date: May 20, 2016
Telecommute: No
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