Enterprise Data Architect - Cloud

  • icrunchdata Network
  • Downingtown, PA 19335, USA
  • May 23, 2020
Information Technology (IT)

Job Description

The Robinson Group has partnered with a longstanding, Fortune 100 client to fill a newly created position. This permanent position is an Enterprise Data Architect - Cloud. Relocation is provided and the company can transfersponsor if needed. Excellent opportunity to take this global organization to the Cloud and is critical in moving from traditional BI into advanced analytics, machine learning, and AI. You will have experience in building modern analytics platforms on the cloud to support Enterprise data warehouse, Data Lake and advanced analytics capabilities. You will also evaluate industrial trends, establish best practices, develop architecture strategy as well as guide the analytics organization across the company to decide the right analytics architecture based on use cases. Responsibilities Understand current state architecture, including pain points. Create and document future state architectural options to address specific issues or initiatives. Maintain in-depth and current knowledge of the Cloud architecture, Data lake, Data warehouse, BI, IoT platform, Platform to develop and deploy advanced analytics models and ETL tools Work with both technical and business stakeholders to understand data needs for projects. Perform any of the following as needed requirement analysis, data profiling, effort estimation for database and data warehouse design and development. Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends. Provide guidance on the creation and best practices around Data Governance, Data Stewardship and overall Data Quality initiatives and processes as part of the overall data effort. Develop and maintain conceptual, logical, and physical data modeling in a relation database, Big data, in-memory and MPP architectures. Develop and maintain conceptual, logical, and physical data modeling in a relational database, Big data, in-memory and MPP architectures. Design and model the data architecture by combining data from SAP and non-SAP systems as well as structured and unstructured data Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives. Experience 8 years implementing enterprise Data Analytical solutions in a complex environment including structured and unstructured data. 5 years working as a Solution Architect with depth in data integration and data architecture for Enterprise Data Warehouse implementations (conceptual, logical, physical dimensional models). 3 Experienced in AWS data lakes and its services like S3, Athena, RDS, EC2, Sage maker and Redshift Multiple experiences implementing solutions for advance analytics using open source (Cloudera based solutions and AWS based solutions are preferred) Experience in Cloudera Data Science Workbench or AWSAzure Advance Analytics platform, with strong curiosity to learn and apply data science techniques. Experience in building data science models is a plus Sound knowledge of Shell Scripting. Ability to collaborate with management, users, contract resources, vendors, and other IT teams Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making. Experience designing and implementing ETLELT strategies (Talend, BODS)

Job ID

The Robinson Group