نظرة عامة على الوظيفة
- مستوي الخبرة
- +10 سنوات
- نوع العمل
- دوام كامل
- نوع مكان العمل
- Not specified
- الموقع
- Not specified
- Job function
- تحليل البيانات
- اخر موعد للتقديم
- 12 يونيو 2025
عن الوظيفة
| · Participates in vendors assessment and selection. · Participates with presales team in the proposed solution design in the bidding phase. · Prepares the Scope of Work (SoW) proposal write-up for bidding in software projects. · Prepares professional services sizing, assumptions, and pre-requisites for bidding in software projects. · Participates in customer demonstrations and presentations to discuss and convince the customer with our software solutions. · Attending requirement gathering workshops and preparing business requirements documents. · Collaborate with stakeholders, including business analysts, data scientists, and IT teams, to understand data requirements and define data solutions. · Evaluate existing data systems and infrastructure, identify areas for improvement, and propose and implement solutions to optimize data management processes. · Define data standards, guidelines, and best practices to ensure data quality, consistency, and security across the organization. · Develop and maintain data models, data dictionaries, and metadata repositories to facilitate data governance and data lineage. · Stay up to date with industry trends and emerging technologies in data management and make recommendations for adopting new tools and techniques. · Lead data integration efforts, including data ingestion, transformation, and integration processes, to support data analytics and reporting requirements. · Provide guidance and mentorship to junior data professionals and facilitate knowledge sharing within the organization.
المتطلبات
· BSc in Mathematics, Economics, Computer Science, Information Management or Statistics
· Over 10 years practical experience in data design, build and visualization.
· Strong Data Management Knowledge: A data architect should have a solid understanding of data management principles, including data modeling, data integration, data quality, data governance, and data lifecycle management.
· Database Systems: Proficiency in working with various database systems, such as relational databases (e.g., Teradata, Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra), is essential. Familiarity with data warehousing concepts and technologies (e.g., Snowflake, Amazon Redshift) is also beneficial.
· Data Modeling: Data architects should be skilled in data modeling techniques and tools, such as entity-relationship diagrams (ERDs) and dimensional modeling. Knowledge of industry-standard modeling notations like UML (Unified Modeling Language) and familiarity with tools like ERwin, Power Designer, or ER/Studio can be advantageous.
· ETL (Extract, Transform, Load) and Data Integration: Understanding the principles and practices of ETL processes and data integration is crucial for a data architect. Proficiency in ETL tools like Informatica, Talend, or Microsoft SSIS is valuable.
· Data Governance and Compliance: Knowledge of data governance frameworks, policies, and best practices is important.
· Programming and Scripting: Proficiency in programming languages like SQL, Python, or Java is valuable.
Certified Data Management Professional (CDMP) by DAMA International.
Microsoft Certified: Azure Data Engineer Associate.