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Job Description:

Data Architect Location Antony, Ile-de-France FR Apply

Requisition Number 205157

Position Title Technology Consulting II

External Description

The Data Architect defines, develops, and promotes the Teradata Enterprise Data Architecture strategy that aids our clients in achieving their strategic information management goals The Data Architect defines and leads data architecture and data strategies that underpin a successful data implementation

A Data Architect provides subject matter expertise on Data Models and Data Architecture and works with relational databases, open source, and big data technologies including Hadoop A Data Architect provides detailed information about a Customers Data Architecture including source systems, data availability, and data quality A Data Architect recommends improvements in data quality, data management, lineage, and governance across the Business Intelligence and Data Warehouse lifecycles Often the duration, simplicity, and efficiency of an implementation is reliant upon good quality, accurately sourced data, and often the data is in disparate source systems with little/no overarching reviews or management

Working as part of a highly skilled data management team, the Data Architect is responsible for developing robust pragmatic data models that meet requirements while supporting the data architectural design principles and designs of the broader IT organization This includes the creation of enterprise conceptual, logical, and physical data models; creating data models that conform to existing standards and conventions; providing leadership and guidance with enterprise data strategies; revising data dictionary definitions, governance practices, and standards; and partnering with security architects to ensure compliance with data security and privacy mandates Additional responsibilities include end-to end data lifecycle management activities, evaluating and recommending new and emerging data management and storage technologies and standards, and ensuring consistency between data management, enterprise storage, and all other technical system components

Excellent communication and stakeholder engagement skills are essential as the role involves working closely with our clients, 3rd party vendors, management consultants, and internal data teams

Key Areas of Responsibility Work with business leaders to create Conceptual Data Architectures which align business needs with Target State Architecture
Participation in the creation of an Enterprise Reference Data Architecture for a Client
Participation in the definition of standard enterprise data management and enterprise data architecture processes and deliverables
Define enterprise architectures for Data Warehouse, Master Data/Reference Data, integration for data and transaction processing
Collaboration with the business, its applications, solutions, and with technical architects to understand the implications of respective architectures on data architecture and to maximize the value of information across the organization
Effectively communicate the benefits of all aspects of Data Management including Master Data Management and Metadata Management process and principles, with the ability to sell those ideas to others
Assist with the Clients review and approval of all major business solutions delivery projects
Work with the Clients Database Administration, Architecture, and Data Analytics teams to help set the enterprise data strategy and standards
The creation and implementation of processes to collect and maintain inventory of data assets across the Clients enterprise
Actively participate and lead data mapping exercises and facilitate data modelling sessions with business and technical teams from information gathering to model validation
Build the enterprise conceptual, logical, and physical data models for analytics, operational, and reporting structures in accordance to Teradatas industry best practices
Provide support in the use of enterprise and analytical data, particularly identifying synergies and connections between data across business areas
Providing support to analyze data requirements and data stored in a disparate set of systems and designing a robust set of data structures
Drive standardization and simplification across the enterprise, lowering cost, improving quality and value of data assets
Develop lasting relationships with client personnel to facilitate a trusted advisor relationship
Responsible for coaching and mentoring less experienced team members
Assist in maintaining the assessment and inventory of the existing enterprise-level data environment
Design and develop a strategy for Data archiving
Semantic Modeling
Data Profiling

Technical Skills Data modelling experience across relational and non-relational technologies
Demonstrate an in depth understanding of designing the conceptual, logical, and physical database architectures, design patterns, best practices, and programming techniques around relational modelling, dimensional modelling, and data integration for relational and non-relational databases
Knowledge of indexes, index management, and statistics
Previous experience working within a Big Data Environment For example, Hadoop, Kline, Hive, HBase, Spark, NoSQL
Experience with visualization and reporting tools, data profiling analysis and transformation
Previous technical background in Database Development and/or Data Warehouse Analysis / Business Intelligence roles with strong SQL skills, some programming, data design or business architecture experience
Proven ability to undertake business analysis of problems and framing the solutions in business terms while providing the high-level designs and proposals
Strong data mapping skills sufficient to take ownership of all mapping deliverables and ensure successful hand-over to the technical team
Demonstrated senior level capabilities in conceptual analysis, problem solving, and data analysis, with ability to lead and facilitate business requirements and data analysis and modelling sessions
Strong understanding of data architecture principles and techniques
Experience with ERWIN as modelling tool is required, with additional Model Mart management experience preferred
Experience working within a Cloud Data Environment AWS, MS Azure, or Google Cloud Platform
Experience with Cloud Data technologies, solutions, and future Cloud Data Strategies
Experience Meta data architecture and Master Data Management Solutions
Understanding of activities within primary discipline such as Master Data management (MDM), Metadata Management, and Data Governance (DG)
Performing analysis and design for Data Management and Data Driven projects
Strong Business and Data Analysis skills
Strong leadership and influence skills across Business and Technology organizations
Proactively engage with the project stake-holders and understand requirements

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Software Services, Internet/Dot com/ISP
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 01st Feb 2020

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