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About the job
This is a remote position. At Softgic, we work with the sharpest minds, with those who build, with those who love what they do, with those who have a 100% attitude because that's our #Coolture. Join our purpose of making life easier with technology and be part of our team as aData Architect. Compensation: USD 30/hour. Location: Remote (anywhere). Mission of Softgic: In Softgic S.A.S. we work for the digital and cognitive transformation of our clients, aware that quality is an essential factor for us, we incorporate the following principles into our policy: ✯ Deliver quality products and services. ✯ Achieve the satisfaction of our internal and external clients. ✯ Encourage in our team the importance of training to grow professionally and personally through development plans. ✯ Comply with the applicable legal and regulatory requirements. ✯ Promote continuous improvement of the quality management system. What makes you a strong candidate:
You are expert in Data Architecture, Data Warehousing, Data Governance, and Data Architecture.
English - Conversacional.
Responsibilities and more:
Can clearly understand business requirements or ask for clarifications on them to support data architecture.
The Data Architect has primary administration responsibility for the logical and physical design of the data solutions and business information architecture.
Creates physical models and participates in the modifications to it as the project moves through the design and development phases.
Ensure all models are consistent with the enterprise data models, naming standards, etc.
Review and update data conceptual, logical and physical models as needed (subject areas, entities, attributes, tables, constraints, etc.)
Support data integration teams and provide ETL- architectural advice to team.
Participate in design, source-to-target mapping, metadata creation, review, and testing phases of a data project/operation.
Work with ETL development team to communicate data designs, review data flow, and resolve data issues.
Provides business project support by ensuring project teams have the necessary information (documentation, policies, rules, etc.) to create data solutions that align to corporate direction.
Facilitate meetings and work closely with business to gather and understand data requirements.
Act as a data steward when needed.
Develop documentation and maintain as needed.
Develops and implements business intelligence tools or applications for accessing and analyzing data and metadata.
Integrate models and ensure data rules and definitions are consistent across various departments.
Anticipate and resolve data definition and integration issues for cross-functional groups.
Works with System Admin group to manage, monitor performance usage and administer the analytic server and Bl reporting tool.
Participate and/or lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates.
Demonstrated analytical ability and creativity in developing and implementing plans and solutions for complex problems.
Requirements
Minimum of 10 years overall IT experience, including 7 years of data architecture.
7+ years of IT experience of hand-on DA experience on small to medium complexity
7+ years experience with Data Architecture, Data Warehousing and data governance.
7+ years experience with Data Modeling tools such as Erwin, ER Studio, or SAP Power Designer.
7+ years experience with relational databases (Oracle, MySQL, etc.), highly proficient in SQL language, SQL performance tuning and DDL scripting.
Strong SQL skills.
IT Experience in architecting solutions via various Business Intelligence suites of reporting and developer products (i.e. SAP Business Objects, Qlikview, Essbase, B4Hana, SAC).
Experience of Application, Data Warehouse and Master Data Management environments.
API/Service specification capability - ability to take from design to specification details.
Desired Experience:
Architect Business Intelligence solutions using technologies such as Tableau, QIik, Microsoft Power Bl, SAP Analytics, and Google Analytics is a plus.
Strong understanding of ETL development pipeline using tools such as Informatica, SAP, IBM and API platforms.
Experience with transactional data management platforms in the cloud such as Azure and AWS is a plus.
Experience with Big data technologies (Hadoop, Hive, Impala, etc.) is a plus.
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