Keeps up to date on regulation changes. Provided the "As-Is" business models and data models for business units to determine "To-Be" architecture. To write great resume for enterprise data architect job, your resume must include: Your contact information; Work experience; Education; Skill listing Drive enterprise best practices, principles and standards, Ability to analyze large scale data to identify new analytics, insights, trends and relationships, Experienced in selling and building Information Governance practices and processes across Fortune 500 companies, Expert knowledge around designing and leading Enterprise Data Warehouse, data mart, and BI solutions, Prior experience working with data modeling repository server environment and maintaining model versions/model objects which may be common to several distinct application development efforts, Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analyzing data and/or evaluating how information needs might be translated into back end database structures, Experience with a wide range of Big Data applications and architectures, Hands-on experience with IBM PureData System for Operational Analytics, Certifications in Enterprise Architecture frameworks (i.e. Created multiple business level documents and communications around data and business processes, data governance, and master data management. Top 8 enterprise data architect resume samples 1. Enterprise Data Architect Resume Examples. Provide guidance where appropriate, Perform software analysis, code analysis, requirements analysis, software review, system risk analysis, software reliability analysis, capacity planning, etc, Champion common data definitions and data protection and security, Monitor, assess, and understand data management capability developments and identify opportunities for TCF architectural modernization, Bachelor’s degree in Information Systems or Computer Science or two year degree with equivalent experience, 10+ years of experience of Data Architecture and Management Services that includes architectural oversight and strategic data architectural planning at the enterprise level, 5+ years hands on architectural and leadership experience in design and deployment of data management solutions (data modeling, database design, data warehouse, middleware, enterprise services, operational data stores, MDM, data quality tools, application development, front-end data collection, identity/access management, and governance mechanisms) within a large enterprise environment, Expert experience in architectural design and modeling, Strong experience in solution design and validation, including capacity planning and testing, Proven ability to assess organizational need and design appropriate data management solutions, Demonstrated experience with agile or other rapid application development methods, Ability to lead implementation of CI/CD methodologies and deploy appropriate toolsets (i.e. Data Included Unit Manpower Documents, Unit Personnel Management Rosters, and Letters of Qualifications. Responsible for assessment and selection of enterprise BI standards and tools. Developed overall structure of AF DCGS 360 User Manual using Adobe RoboHelp and HTML. Top 8 enterprise data architect resume samples In this file, you can ref resume materials for enterprise data architect such as enterprise data architect resume samples, enterprise data architect resume writing tips, enterprise data architect cover letters, enterprise data architect interview questions with answers… Lead day to day system development and maintenance activities of the team to meet service level agreements (SLAs). Lead Data Architect for the Pharmacy Benefits Manager (PBM), Medicare Part D and the Medi-Span Data Acquisition Layers. Worked directly with business to define data taxonomies to classify and categorize content in order to improve data quality and optimize applications. Provided recommendations on data gathering and analysis based on best practices and emerging technologies. Highlighted gaps in reporting and data management capabilities, and developed mitigation strategies. Designed a custom Reference Data Management system, allowing business data stewards to manage slowly-changing master data sets in registered Oracle tables used by other OLTP systems. Tasked with monitoring Enterprise database storage and growth of close to 70 Terabytes ultimately providing mechanism for identifying growth rates and storage needs before getting to a critical state. Developed a data architecture for the Credit Card Risk database. Implemented a complete analysis and deployment of a web-based corporate Encyclopedia. Translated business data definitions to systems and applications data definitions. Provided desk level procedures for SQL server builds. foreign key constraints), Create new conceptual, logical and physical models to deliver new requirements (top down approach), Work according to the project framework including timelines, quality plans, progress reporting, risk and issue identification and communication, Guide Customer for determining the information the enterprise will capture, retain and exploit, Facilitates the assimilation and integration of new technologies and/or change initiatives into the business operations, Extensive experience of the Data Architecture discipline in a global insurance organization with multiple corporate entities, In-depth understanding of data elements and their ramifications across systems for different Insurance products/LOBs namely Commercial Insurance, Retail Insurance and life insurance, Hand-on experience of implementing ACCORD standard and/or IAA/IIW models, Extensive data modelling, manipulation and rationalization experience within complex environments, Broad and in-depth experience of complex data environments design, Considerable experience of SOA based Enterprise Data architectures, Knowledge of web services and XML messaging including XSD, WSDL, SOAP and REST is desirable, Experience of MDM is a definite advantage, Past experience of data conversion and/or integration for COTS products like GUIDEWIRE, CALLIDUS, DUCKCREEK, VANTAGE etc will be a big plus, Three (3) + years of recent experience modeling for the Microsoft SQL/SSIS/SSAS/SharePoint BI platform for HFHS EDW OR, Experience in Epic Clarity and Cogito Data Warehouse preferred for HFHS EDW, BI development experience relevant to the Microsoft reporting platform preferred, ETL development experience relevant to knowledge about information design and compatibility preferred, Database administration skills relevant to knowledge about conceptual/logical/physical design optimization preferred, 10+ years of in depth experience in multiple IT disciplines within a higher education environment including technical architecture, network design, application development, middleware, servers & storage, database management and operations, Demonstrated ability to translate business needs into long-term architecture solutions. - Choose from 15 Leading Templates. Developed and maintained enterprise artifacts and IT roadmaps for current systems/services. Created frame work for MDM implementation for Customer and Supplier data across [company name]. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary, Minimum Bachelor’s Degree in Computer Science, Information Technology or related field, or HS Diploma and 6 years experience in technology field; advanced degree preferred, Minimum 5 years experience in enterprise data architecture and data engineering, Required licensures, professional certifications, and/or Board certifications as applicable, Experience in healthcare industry preferred, Experience in an intensely data-driven environment, Extensive knowledge of Master Data Management (MDM) systems & Information Lifecycle Management (ILM), Experience with large enterprise data warehouse architecture design including logical and physical model development, Demonstrated experience with enterprise architecture involving high volume transactional systems, integration, middleware services, application service layers and user experience, Knowledge and experience in Data Governance & understanding of domain data models and enterprise data models, Knowledge of industry standard Enterprise Architecture Frameworks, (e.g. Also responsible for enterprise-wide data architecture, policy, methodology, and modeling procedures. ... Enterprise Data Architect Our client is seeking an Enterprise Data Architect to provide architectural leadership and guidance and will play a highly important role in building technology platform s... Easy Apply. Please include a resume. We analyzed 2,951 Enterprise Architect resumes to identify the skills, responsibillities, and achievements that hiring managers want to see. It is based on using customer survey data from vendor Medallia, internal customer data and external customer data from the events. Implemented using Data Vault for improved adaption to change. Using ERwin, developed logical and physical database designs for a strategic enterprise Oracle OLTP database supporting Java-based web services applications. Conceptual, Logical and Physical data modeling using CA ERwin and ER/Studio Data Architect, Repository and Portal. Led the implementation of the Informatica SuperGlue metadata repository. (e.g., possesses The Open Group Architecture Framework [TOGAF] accreditation), Possesses solid knowledge of Data Architecture Maturity Evaluation concepts and metrics (e.g., ACMM), Possesses solid communication skills, both written and oral, Is energetic, personable, and achievement- and outcome-oriented, Knowledge of industry and customer's data standards and architectures, Thorough knowledge of design and integration principles for complex, heterogeneous databases, Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure, Experience with integration of metadata management, master data management, and data quality/governance functionality, Ability to maintain currency on tools, methodologies, and technologies, Ability to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and resources staff, Excellent analytical skills, problem solving skills and and strong attention to detail, Experience developing and supporting Enterprise Data Warehouses, Prior experience with Business Intelligence reporting platforms required - (Cognos BI and TM1 a plus), Solid understanding of the project management, development lifecycle, including data modeling, dimensional and relational modeling, requirements analysis, ETL, and report creation and delivery, Masters degree in Computer Science, Computer Applications, Information Systems or related work experience, 7+ years of experience in Data Warehousing, Expertise with Big Data & Cloud Ecosystem like Amazon Web Services, Experience in Media & Entertainment is preferred, Interprets business strategy and develops organizational objectives to align with this strategy. Led End-To-End information delivery solution that ingests data from various sources, consolidates and aggregates 150 KPIs into a central data mart. Since employers often decide on a candidate’s resume in just a few seconds, the Summary of Qualifications and unique skill set were highlighted to begin the resume. Helped develop and deploy actual manual. Assessed data quality and established a data confidence index for each data source/field. Conducted review meetings and JAD sessions with the Data Architecture and development teams to review LDM's and PDM's. Examples of Enterprise Data Architect duties are developing the data framework, implementing strategies to meet business needs, maintaining data in the enterprise, improving security, reducing redundancy, and developing methodologies for handling data. Train IT staff on the best practices to create data models using ERwin tool. Dept Of Homeland Security Project Management. Work with senior management, technical and client teams in order to determine data requirements and best practices for advance data manipulation, storage and analysis strategies in a data warehouse environment. Work with the Application Development team to implement data strategies and build data flows. Developed requirements for bringing pricing and orders data into Hadoop enterprise data hub. Upload resume. Coordinated project activities involving system users and IT development staff to ensure datamart requirements are identified and verified, and meet user specifications. Find out what is the best resume for you in our Ultimate Resume Format Guide. Browse Enterprise Architect resume samples and read our guide on how to write a Enterprise Architect resume. These 150 KPIs were consumed by multiple business units and field team via dashboard. Build Your Own Now. Click the button below to make your resume in this design. Common duties listed on a typical resume sample for Enterprise Architect are: aligning the IT strategy with the company's objectives, reducing costs, improving information flows, reporting to stakeholders and management, training and guiding employees regarding information systems issues, and mitigating risks associated with information. The following Data Architect sample resume is created using Sleek Resume Builder. Expertise relating to the design and development of software across the organization, Knowledge of relational SQL, NoSQL and in-memory databases including, but not limited to, Oracle, DB2, Microsoft SQL Server, MySQL, Hadoop, MongoDB, SAP HANA, and others, Significant experience with the integration of highly complex, diverse, internally and externally developed implementations of business functions to build enterprise-class, scalable systems, Extensive experience in multidimensional data modeling, such as star schemas, snowflakes, normalized and denormalized models, handling “slow-changing” dimensions/attributes, Expert understanding of Cloud Architecture in the context of Saas, Paas, IaaS, and the ability to address the unique security considerations of secure Cloud computing, 10+ years of experience with designing and developing system architecture, Experience with SharePoint, Jira, Java, and Microsoft Project, Knowledge of project and portfolio management, BA or BA degree in Electronics and Communications, Data Strategy, Architecture and Governance, Define and enforce the enterprise level data strategy for PTC, Develop, maintain and evangelize data architecture guiding principles, policies, best practices, reference architecture and standards, Represent data architecture concerns in design, implementation and deployment reviews, Facilitate data architecture working sessions with infrastructure and operations teams, Data Discovery, Quality, Analysis, Transformation, Migration, Modeling, Lifecycle Management and Master Data Management (MDM), Manage and actively contribute to data quality and cleansing activities, Experienced in discovery, analysis, transformation and modeling of products, pricing, parts, customers, contacts, contracts data, Establish a harmonized, master view of product catalogs and product hierarchies across global internal systems - Salesforce CPQ (configuration, pricing, quoting), Zuora, Oracle, Flexera, Play a lead role in selecting and implementing technologies supporting MDM, data discovery and analysis tools and champion related process changes, Design and implement MDM model for product and pricing data, establishing a master view of product catalog across global internal systems and related data stores, Identify business opportunities for applying leading and emerging data technologies at PTC, Lead proofs of concept and prototypes of leading and emerging data technologies, Bachelor's degree; preferably in a related field, 10+ years of relevant experience on data strategy, data architecture and management consulting, Strong implementation experience and deep knowledge in Master Data Management, Data Integration, and Data Quality, Data Management experience with Oracle, Salesforce.com, Enterprise MDM, Data Discovery and Data Quality solution technologies preferred, Strong experience with database modelling, development, query-building, and analysis tools, Experience with designing and building complex ETL, cleansing, and data synchronization processes across information systems, Must be a team player and be able to work collaboratively with and through others, Excellent verbal and written communication skills including presentation skills (MS Visio, MS PowerPoint), and the ability to interact with global technical and functional teams including the business, Willingness and ability to mentor junior staff, Proven experience with Data Warehouse and BI systems; extensive experience in collecting business requirements from customers, and transforming those requirements into database data processes and data schema, Proven track record of driving rapid prototypes and designs for new projects. 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