To Data mesh addresses these dimensions, founded in four principles: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a platform, and federated computational governance. The Sr. Data Governance architect is a technical resource who understands the extract, transform and load technologies, data quality, security, privacy, access control and is responsible for the assigned data governance related tasks at the project level. Working knowledge on building and working on/around data governance standards Passion for working with open-source technologies as well as commercialized platforms Bachelor’s Degree with a minimum of 3+ years relevant experience or equivalent | Cookie policy, Re - aligned Teradata and Microstrategy implementations reducing processing times from 3-10 days to 2 hours, Set technical direction and drove implementation of a Business Intelligence solution focused on EU markets generating $1B over five years, Stepped in after seven years of failure to envision and implement an Information, Architecture for a $12B program, successfully completed in 1 year, Created data governance and privacy policies specifying contract implementation, Defined accountability procedures governing data access, processing, storage, retention, reporting and auditing measuring contract compliance, Developed data stewardship program establishing metadata registry responsibilities, Assessed Business Intelligence capabilities and specified application portfolio, Defined data warehouse architecture, platform and applications, Implemented metadata standards, data governance and stewardship, master data management, ETL, ODS, data warehouse, data marts, reporting, dashboard, analytics, segmentation, and predictive modeling, Established Business Intelligence Center of Excellence delivering consulting expertise directly to the business community, SAP implementation team and IT, Led an engagement to review a poorly performing Teradata and Microstrategy environment for a $75B service organization. Data governance is not a technology space, tool – or architecture. Information Technology associate with expertise and experience surrounding data architecture, data governance, database administration, data modeling, meta data management, and data quality best practices. Lead and participated in data model review board discussions. Our company will require that a Data Governance Manager lead and manage all organization-wide data governance activities and will have responsibility for improving the quality and managing the protection of sensitive data and information assets. Established standards, guidelines, and procedures for data model design and implementation. Oracle 8i OCP, Teradata, SQL Server, Informatica DQ, Meta Manager, Erwin, ER Studio, Oracle SQL Developer, Toad, Contract Insight, DBA/Data Modeler/Enterprise Data Architect, © 2020 Hire IT People, Inc. Created data governance and privacy policies specifying contract implementation You’re being taken to an external site to apply. Each principle drives a new logical view of the technical architecture and organizational structure. Created data management policies, developed ETL, Datastage, ODS, data warehouse, data marts and reporting environments reducing customer support headcount by 100 worldwide. Defined the detail of data domains by mapping data elements to a data domain and specific data owners and data stewards. Privacy policy February 20, 2018. Data governance consists of the people, processes and associated tools and technology required for planning, supervising and controlling your enterprise’s data landscape. Create an account to get recommended jobs that match your resume and apply to multiple jobs in seconds! Lead, mentored and directed the development of processes, standards, and guidelines for data management policies and frameworks. In short, data governance is a continuous process and it has to be managed properly over the years. Directed and provided leadership in establishing and facilitating an enterprise wide Data Governance practice to resolve ambiguities in data, reporting, process and corporate vocabulary. Performed analysis and problem resolution related to data architecture, governance, integration, metadata, and data modeling. So, even though Data Architecture is critical to Data Governance, it’s a small piece of a wider whole,” said Donna Burbank, Managing Director at Global Data Strategy. Data Governance Analyst Vs. Data Architect. When preparing a data architect resume, a section you will need to create is the work experience section where you will show proof of having worked as a data architect before, that’s if you have actually done so. Participates and leads the creation … Drove tactical and strategic analysis focused on evolutionary behavioral predictions using SAS and artificial intelligence systems, Expanded analytical capabilities by introducing metadata registries and semantic web processing blending all data sources for combined analysis, After seven years of failure, architected a Business Intelligence solution with master data, data governance, data schema sharing, ETL, ODS, data warehouse, Teradata, data marts, Oracle, and reporting analysis and distribution, SAS within one year. IASA is a non-profit professional association run by architects for all IT architects centrally governed and locally run technology and vendor agnostic Th 3. Data Management, Data Governance, Data Architecture resume in Columbus, GA - June 2016 : ssis, architect, ssrs, hadoop, informatica, teradata, etl, gis, c#, wcf Solutions architect resume examples; Software architect resume examples; How to write an Enterprise Architect resume. As our data governance framework illustrates, tools and architecture represents but one of many facets needed to support an enterprise data governance competency. The core principles should be kept simple and understandable to all the layers of an organization. Established data governance and stewardship program, metadata registries and standards, ETL, DataStage, ODS, data warehouse, Teradata, data marts, reporting, Microstrategy, and analytics, SAS, resulting in new product offerings and increased sales. Managed a team of 10 in Confidential’s worldwide service organization. Responsible for the improvement of data integrity and data quality problems and development of data governance practice. Data Architecture for Data Governance 1. The following is a job description that can be customized to match your organization’s Data Governance Manager job requirements: 1. 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. Apply to this job. The national average salary for a Data Governance is $78,779 in United States. Apply on company site. Director of Global Data Management February 2005 to June 2013 Performance Food Group - Richmond, Virginia. ... You can save your resume and apply to jobs in minutes on LinkedIn. Received the Highest Performance award from the United States Air Force, Developed multi-year program plans and budgets ($245 million), hired a staff of 22, developed a Concept of Operations and trained Air Force operational personnel in the use of Teradata, Oracle, and SAS, Built and led a team of 25 in Confidential ’s Advanced Technology Center to develop products and services for the Business Intelligence market, Increased Confidential ’s Unix server system sales by $1.3 billion, Working with SAS and Charles Schwab, developed a new product category for the Business Intelligence market place. The data architect interview process usually starts with a phone interview that covers your areas of expertise, previous job experience, and future plans. Enterprise Architect for DHHS, CMS support Initiated the CMS Enterprise Architecture development and maturation program. Provide technical recommendations of Confidential ’s assets and key resource for development and implementation of data models. Created a data quality center of excellence team and led efforts to track and correct data anomalies. A Salesforce Certified Data Architecture and Management Designer assesses the architecture environment and requirements and designs sound, scalable, and perform solutions on the Lightning Platform as it pertains to enterprise data management. Led the implementation of a Business Intelligence solution for a global software company focused on reducing customer service costs and improving customer satisfaction. Filter by location to see Data Governance salaries in your area. For the purpose of this process, quality of data is defined as the data falling within an expected range of values. Confidential. For the Client those ranges have not been defined for each value in the data warehouse. Solution Technical Architect Resume. Based on our collection of resume samples, the most sought-after skills in an Enterprise Data Architect are technical skills, troubleshooting, analytical thinking, excellent understanding of data, teamwork, … Tools: Informatica, SAS, DataStage, Microstrategy 7i project, geography hierarch, schema notations, customer analysis, Erwin, semantic web ontology’s, Databases: UDB, Teradata, Oracle, SQL Server, Access, Architectural Frameworks: TOGAF, DODAF, TIQM, Zachman, Inman, Kimball, © 2020 Hire IT People, Inc. The sample job description given above can help you to quickly create this section as it highlights the duties and responsibilities normally carried out by data architects. Worked with Architecture Group to define enterprise data strategy, vision, roadmap and standards. Most employers would like to hire someone with experience of the job, so if you have one, you should highlight it in your resume. The position will focus on establishing and ensuri… Director, Enterprise Data Governance Responsible for the improvement of data integrity and data quality problems and development of data governance practice. Defined corporate metadata definitions for all enterprise supported databases and maintained in modeling tool. Accountable for product, vendor and customer data for the #3 leading food service company in the US; responsible for maintaining and monitoring the data … Auto Finance Data Architect - defined the target data architecture for alignment with enterprise architectures, design principles and business strategy. Being an Enterprise Architect is a complicated job. Architecture for a $12B program, successfully completed in 1 year; Work History: Confidential (Senior Manager Data governance - consultant) Responsible for envisioning and implementing data governance and privacy. Developed architecture Principles and EA Communications strategy. Document the business side of data governance including such areas as data sources, data frequency, data quality, business rules for data transformation, data access requirements, data metrics, etc 4 Experience For Senior Manager Business Intelligence Data Architect Resume Developed EA Governance Framework and integrated architecture review processes. Partnered with solution architects, project engineers, application development management, data modelers, database administrators and other stakeholders for collaboration on data model design and model review sessions. Led the Data Governance Comprehensive Capital Analysis Review ( Confidential ) project vertical to implement data management processes, procedures, standards and best practices that support a data governance, data quality and meta data process. Representative Data Governance Specialist resume experience can include: Able to apply expert negotiating skills within the context of high political sensitivity and conflicting interests To Develop data skills and enhance behavior to sharpen focus on long-term costs and benefits Thorough knowledge and operational skills in the Data Governance Collaborated with business analysts and created data requirement template to enhance data profiling processes. In fact, in a recent article Robert Seiner suggests that data modelling is data governance; not literally of course, but in terms of discipline, rigor and effect, the analogy is a good one. Participated in requirements gathering sessions and architecture discussions with multiple project teams across business to include business analysts, developers, subject matter experts and other modelers. The blueprint, standards and benchmarks against which the governance is to be driven is provided by the target data architecture which includes data principles and standards. Data Governance 2. First Name. Objective : Over 4 years of software lifecycle experience in Application Software Design, Development, Testing and Implementation of various database applications.Expertise in designing conceptual, logical and physical data model starting from business analysis to technical implementation. Lead Data Architect in support and creation of a complex application integration data hub on Oracle Exadata data repository to support operational applications. Data governance analysts oversee planning and control of all data related aspects in a company. Database Design, Data Maintenance, Database Security, Database Management, Requirements Analysis, Teamwork, Technical Zeal, Project Management, Presenting Technical Information, Training , Operating Systems ———————————— Employers: Post a job in minutes to reach candidates everywhere. Led the development of business intelligence reports to monitor control limits, tolerances and reconciliation of key business data elements as required by business partners. Working team member in support of a data governance program and assisted in creating controls for data management processes and standards. Appendix A: Data Governance Policies and Procedures High-Level DataStandards Data quality is important to the Client. Used FEAF models and Segment Architecture for mapping goals and strategies. Salary estimates are based on 12,661 salaries submitted anonymously to Glassdoor by Data Governance employees. Confidential (Senior Manager Data governance - consultant), Responsible for envisioning and implementing data governance and privacy, Confidential (Director - Position outsourced), Responsible for Business Intelligence envisioning and implementation worldwide, Confidential (Senior Principal Consultant - Company Sold), Responsible for leading Business Intelligence consulting engagements worldwide, Confidential, Sunnyvale, California (Program Manager/Chief Information Architect), Office of the Secretary of Defense - Chief Data Architect, Led and implemented an Information Architecture program, Created the vision and led the implementation of an Information Architecture, Confidential, Palo Alto, California ( Senior Manager, Advanced Technology Center). Enterprise Data Architect Resume Examples & Samples. Leads proof of concept evaluations, vendor and product selection for data management technologies. | Cookie policy. The candidate is ... data governance… Responsibilities: Performed analysis and problem resolution related to data architecture, governance, integration, metadata, and data modeling. Created Data Strategy, architecture and defined system develop processes to deliver accurate and understandable information across the Defense Department, Partnered with USAF labs to develop a prototype Enterprise Service Bus solution using existing infrastructure and data hubs, Partnered with OSD CIO to ensure architecture conformed with Net Centric strategy, Created a Business Intelligence solution transforming stove pipe systems into an open and shared data warehousing environment. Key lead for implementation of Confidential ’s Banking Data Warehouse Model ( Confidential ). The Data Architect Resume was designed for a client that has a strong background in Data Analytics and is hoping to take the next step in their career. Privacy policy “While Data Architecture focuses on technology and infrastructure design, Data Governance encompasses the people, the process, the workflow, as well as the architecture needed to support governance. Data Governance Architect. 3,685 Senior Data Governance Architect jobs available on Indeed.com. Think you're the perfect candidate? Developed phased correction plan which reduced processing times from 3-10 days to 2 hours, reduced Teradata nodes and increased Microstrategy report throughput, Directed the development of a Business Intelligence program for a nationwide commercial bank. 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. “Data Architecture is the physical implementation of the Business Strategy,” said Nigel Turner, Principal Consultant in E.M.E.A. In time, this field of work evolved into data governance, data architecture/modelling and metadata management, which I have all embraced during my career. Built and managed a team to deliver prototype in 6 months, Created strategy and built Business Intelligence solution to evolve Confidential from a product focus to a customer driven business, Designed and implemented an executive information system. Partnered with delivery leads to ensure adherence to regulatory requirements compliance, validation and assessment of risks and controls that relate to enterprise data governance in support of data compliance, risk data aggregation and risk reporting. Utilized core data concepts and design structure of Confidential ’s Banking Data Warehouse Model. Solutions Architect - DATA GOVERNANCE Informatica New Verda, LA 30 minutes ago Be among the first 25 applicants. Participates and leads the creation and maintenance of data models. Responsible for the design and instantiation of the data model design based from business requirements and established processes. Technical/Solution Architect consultant Resume. Responsibilities included providing leadership in technical architecture including data architecture, data integration, data quality and data governance related projects. Created physical database tables, views, indexes through generation of Confidential from data modeling tool. Data Architect Resume Examples. Summary : A Seasoned Technical/Solution Architect consultant with 19 + years of experience in JAVA/J2EE Technologies and 5+ years of experience in Technical/Solution Architect.Possess skills in end-to-end development of software from requirement analysis to system study, designing, coding, testing, debugging, and implementation. Provided mentorship and trained staff on standards and policies around best data management practices. Found design flaws with the data schemas and structures, data pre-sorting, job queuing, Teradata ELT and Microstrategy reporting designs. The interviewer will most probably ask you about the Microsoft technologies you’ve used to build solutions and the challenges you’ve encountered while implementing them. Key lead to improve data accuracy, data quality, data security, data integrity, and data standards across the organization. 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