Lead enterprise data architect job with aboutweb _ 37621979

PURPOSE: Our client processes a massive amount of health care claims and maintains data that spans more than a decade. Database field types We are looking for a hands-on Lead Enterprise Data Architect with deep experience in information management, data warehousing, big data, and analytics technologies to provide tactical and strategic direction in the areas of data management, data organization, business intelligence and analytics, data mining and visualization, as well as assessments of data quality and consistency across platforms, products, and geographical areas. Data recovery best buy The Lead Enterprise Data Architect will develop a detailed knowledge of the underlying data and data products, and will become the subject matter expert on content, current and future uses of data, and the quality and interrelationship between core elements of the data repository and data products.

Raid 5 data recovery The incumbent has business responsibility for determining the information the enterprise will capture, retain, and exploit. Database administrator salary nyc This individual will possess a combination of business knowledge, technical skills, and people skills to define and guide strategy.

Working at both the project and horizontal category levels, the incumbent is responsible for working on research, development and implementation of more complex process engineering projects designed to advance the process capability of the organization. Database p The incumbent is accountable for translating business needs and solutions designs from an Enterprise perspective. Cloud 9 database This individual provides leadership for data architectural design, problem solving and technology leadership by ensuring project compliance at the Enterprise level as well as enterprise data efforts such as profiling, metadata, quality, and master data management. Data recovery on ssd The incumbent assists the Data Governance Manager and other Architects with establishing the standards and architectural building blocks of the organization. Database query tools The incumbent also ensures that the project data designs meet said business needs and adheres to stated directions and standards for the architectural building blocks. Database 2000 Maintains current technology inventory, assists in standards and component efforts and in the development of data and technical architectures. Database business rules The incumbent is skilled in translating business strategy/drivers into IT requirements with a proven ability to solve complex problems or situations as a subject matter expert. Iphone 5 data recovery The incumbent champions and drives organizational transformation through the establishment of Data Governance processes and the presentation and communication of the necessity of Data Governance.

PRINCIPAL ACCOUNTABILITIES: Under the direction of the IT Data Architecture Manager, the incumbent’s duties and responsibilities include variations, but are not limited to the items below, depending upon the Business need.

· Leads teams and provides guidance to Data Architects and Data Solutions Architects. Database implementation This includes review and approval of artifacts generated by said parties.

· Champions the transformation of the enterprise to become data-focused through the introduction of Data Governance and the Data Centric Lifecycle.

· Provide guidance and creation of enterprise data profiling reports for all databases. Raid 1 data recovery software These reports shall be used by project teams to determine the quality of data as well as assist in source to target mappings.

· Establishing/enforcing the Enterprise information architecture and the data components of a Systems Development Lifecycle e.g. Seagate data recovery Entity relationship diagrams, Data flow diagrams, documenting external interfaces, Business Process and enterprise modeling/mapping artifacts to a data architecture framework; stratifying data for Data Management purposes.

· Provide guidance and supervision of implementing and maintaining a Data Governance framework and strategy, including standards, quality, and metadata and master data management.

· Identification of data conversion and translation strategies – Define, maintain and enforce the use of standardized enterprise data element names, abbreviations, definitions, characteristics, and domains. Database report (This includes elements/definitions used in software applications and all derived, summarized and calculated elements found in data reporting tools/repositories.)

· Mapping artifacts to a data architecture framework and managing data/message requirements in an Enterprise Application Integration environment for a middleware layer.

· Creation of source to target mapping at the element level including specifications for data integrity, referential integrity, CRUD diagrams, etc.

· Review of logical data designs/models with Business stewards as well as creation of physical data models and maintaining conformance to established naming standards

· Review and recommendations should be made on an enterprise wide Master data management plan and when implemented continual guidance on that plan as the business needs of the company are modified. Data recovery specialist This includes the facilitation of the resolution and maintenance of enterprise common valid values and assists clients with the synchronization and integration of data across the enterprise.

· Assists with business naming standards, developing and maintaining consistent data definitions, determining data aliases, documenting standard calculations and derivations, and documenting the business rules of the enterprise – e.g. Data recovery iphone 6 serves in a role for the enforcement and maintenance of governance policies, processes, performance measurements, and roles relative to healthcare industry best practice, and providing both technical and administrative services to execute architecture policy, procedures, roles and responsibilities, concept of operations and standards.

· Working with the Informatics leadership and other Enterprise Architects, formulate and execute a data architecture vision and direction in alignment with Enterprise Architecture roadmap.

· Provide high level data domain architectural design and documentation – Development/enforcement of procedures to convert enterprise assets to information assets from a Knowledge Management standpoint.

· Drive the collaborative development of technology strategy, technology standards, roadmaps and practices for data management across the enterprise.

· Support creation of an enterprise quality plan and continual modification / execution of the plan as the inflow and outflow of the enterprise data are modified. Database building This includes enterprise quality reporting on the robustness of the data as well as areas of concern.

· Guide the development of a structured information environment and standardizations, enabling full traceability and data lineage across the enterprise landscape.

· The incumbent assists the Data Governance Manager and team with establishing the standards and architectural building blocks of the organization. Data recovery top 10 The incumbent also ensures that the project data designs meet said business needs and adheres to stated directions and standards for the architectural building blocks.

Required: This position requires Graduate Degree in Computer Science / Engineering / related IT Field with a minimum of 7 years of experience OR a Bachelor’s degree in Computer Science / Engineering / related IT field with a minimum of 10 years of experience OR equivalent experience. Database hosting Proven ability to distinguish data and architectural requirements at system level, project level, department level and enterprise level; must be able to perform requirements definition, analysis, data pattern analysis and design in support of enterprise data integration efforts. Data recovery best Demonstrated competency in strategic thinking and leadership with strong abilities in relationship management in multi-discipline environments. Data recovery program Demonstrated knowledge of data architecture concepts and industry trends. 7 data recovery 94fbr Experience leading the design, development and delivery of an enterprise-wide data architecture and blueprint, and leading the organizational change in the adoption of that architecture and blueprent.

Abilities/Skills: Position requires very strong written and oral communications skills, including some presentation skills. Database languages Works well under general supervision, with regular review of work needed. Database ranking Candidate must be able to work with a broad range of users, business management, and IT management and project leaders. Data recovery youtube Candidate must possess professional and negotiating skills as well as the ability to function successfully in a team and results oriented environment.

· Use joint application development techniques (JAD) to assist clients with the translation of business rules into data models: Conduct data definition sessions with users; Assist with the implementation and maintenance of the data repository; Participate and/or assist Management in driving the development, implementation and use of an enterprise data platform; Provide guidance, education and assistance to the IT and user communities in support of their data access and usage activities.

· Subject Matter Expert of Conceptual (ER Diagrams), logical and physical database design, data acquisition analysis and design. 911 database Proficiency in Relational and Dimensional Data Modeling as well as “Big Data” techniques.

· Subject Matter Expert of multiple RDBMS, columnar databases, data appliances, and the architectural implications associated with each platform.

· Demonstrated experience with data profiling and quality assessments with some experience in implementation of a enterprise quality program.

· Demonstrated ability to distinguish data and architectural requirements at project level; must be able to perform requirements definition, analysis, data pattern analysis and design in support of enterprise data integration efforts.

· Familiarity with LDAP, Single sign-on, Web technologies and enterprise web services as well as technical web services, Enterprise taxonomy.

· Knowledge and experience with data platform and integration tools such as those used for data modeling, data integration (ETL/ELT), data governance (quality lineage, master data management, metadata management, etc.), business intelligence, and analytics / visualization..