Enterprise Data Architect
Found in: beBee S SA - 1 month ago
We are entrepreneurs in disruptive technology, at Devoteam, we deliver innovative technology consulting for business. Digital Transformakers, we are 7,000+ professionals across EMEA dedicated to ensuring our clients win their digital battle. We improve business performance making their companies truly digital. We advise our clients and build IT infrastructure for digital, making sure people are along for the ride.
Devoteam Middle East, we are the region's leading consulting firm delivering innovative Business & Technology Consulting & Solutions. Our 14 years of existence anchored in technologies that enables our clients business to flourish, accordingly our focus is to help our clients' win the digital battle, adapted to our clients’ business challenges, with a unique consideration to its impact on their systems and structures.
To know more about us, please visit: www.devoteam.com
- Set technical vision, roadmap, architecture standards, and principles for large scale data initiative ensuring that the
- business, application, data, and technology perspectives are in line with those of the organization.
- Focus on delivering data solutions to improve decision-making, increase efficiency, and ultimately, transform data into actionable insights and products.
- Align data architecture with enterprise strategy and architecture.
- Engage with the business to identify and define the required use cases, KPIs, and data assets of value to the business.
- Support selection and implementation of data technologies
- Write RFIs/RFQs/RFPs, estimate project cost, evaluate proposals, and help with the vendor evaluation/selection process.
- Promote and standardize data governance, metadata management, data quality, data security, and best practices across the organization.
- Architect conceptual and logical data models (dimensional/snowflake) and online analytical processing (OLAP)
- Architect data warehouses, ETL solutions, and data lakes, for business intelligence, and advanced data analytics models (descriptive, predictive, and prescriptive)
- Provide excellent advice to the data management team to ensure the team is delivering using proven software development methodologies and modern software best practices.
- Plan and specify processes of data life cycle (capture, maintenance, synthesis, usage, publication, archiving and purging).
Qualifications- A minimum of a BS in Computer Science, information systems, or related field
- At least 12 years of overall relevant professional experience
- Expert in all aspects of enterprise data management (data strategy, governance, architecture, modeling/design,
- Business intelligence & data warehouse, integration/ETL/data ingestion tools, master/reference data, metadata, advanced analytics, and data quality and security)
- Experience using and preferably having implemented large-scale analytics/bi platforms.
- Strong knowledge of software development methodologies and best practices.
- Prior experience with big data platforms and AI is ideal.
- Ability to operate in a fast-moving environment and deal with the complexity of multiple priorities and stakeholders.
- TOGAF 9 is a must.
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