Enterprise Data Architect (m/f/d)
Posted on Apr 6, 2019 by Deutsche Telekom AG, VTI
Develop and maintain enterprise wide data architecture, covering data integration, data management and data exploration
Develop and create strategy and architecture for data lake, enterprise data warehouse, operational data store and support implementation across multiple countries
Develop strategy and architecture to explore data using machine learning and advanced data analytics to improve customer experience and automated operations
Create a strategy to deal with Operational, Master, Reference, Unstructured, Historical and Analytics Data
Govern changes to the Enterprise Data Model across all domains of data assets
Work hand-in-hand with the project teams to ensure the architecture is aligned with and capable of supporting business strategy.
Ensures that reusable Data Services are leveraged, created, or amended in support of the Project's requirements. Also includes coordinating all Data Architecture deliverables as per the Project Delivery Methodology and providing estimates for work efforts based on priority and scope.
Development of standards and techniques for the management of Information Lifecycle
Deliver a strategy to drive a shift from Batch/Point to Point processing to Real-time processing / Hub & Spoke
Maintain and govern the metadata, data lineage and data models that describe the data architecture and the data assets it supports.
Your ProfileExpert on a wide variety of Data Management processes and technologies.
Demonstrated proficiency in designing end to end data architecture
Demonstrable experience in defining and implementing big data architecture and data exploration using machine learning and analytics
Demonstrated proficiency and experience with a variety of database technologies including open source
Experience with Big Data/Hadoop/NoSQL, Visualization and reporting tools, data profiling analysis and transformation.
Experience of Cloud Data technologies, solutions and future Cloud Data Strategies
Deep technical expertise on data integration and processing technologies such as ETL, APIs, Streaming.
Experience with NoSQL data stores and patterns such as Document, Graph, Hadoop, Key Value, etc.
Expert in database management system (DBMS) physical implementation, including tables, joins and views.
Understanding of Data Quality & Profiling.
Experience with Information Lifecycle Management processes and technologies.
Familiarity with the use cases, business purposes and quality of the data.
Requires a Bachelors degree from an accredited college or university, preferably in Computer Science, Information Systems or related field plus MBA prefereed
10+ Years of experience in Data Modeling (Conceptual, Logical and Physical).
5+ Years of Enterprise Architecture experience and Enterprise IT Solutions Implementation, across both OLTP and Analytics environments
Experienced in Master Data Management and Data Governance implementation
Experience in designing JSON and XML Schemas and functional mapping specifications for enterprise data services.
Actual hands on roles on Data Warehouse, Master Data and Data Integration implementations.
Experience in leading Data Governance processes.
Sound understanding of core business processes in telco industry
Effective Cross Cultural Communication skills
Should be comfortable working with remote teams. Effective Decision-making and Problem-solving skills
Ability to adapt in a dynamic work environment, prioritize work, and make independent decisions
Business fluency in English