Data Architect - Design Office
Full time
at Giza Systems
in
Saudi Arabia
Posted on February 19, 2025
Job details
Data Architect - Design Office Job Description The main purpose of the solution architect position is designing software solutions and providing technical leadership to software delivery teams, being accountable for the technical acceptance of the delivered solution by the customer.
- Participates in vendor assessment and selection.
- Collaborates with the presales team in the proposed solution design during the bidding phase.
- Prepares the “team” Scope of Work (SoW) proposal write-up for bidding in software projects.
- Prepares “team” professional services sizing, assumptions, and prerequisites for bidding in software projects.
- Participates in customer demonstrations and presentations to discuss and convince the customer of our software solutions.
- Attends requirement gathering workshops and prepares business requirements documents.
- Prepares strategy documents for the project (i.e., configuration management strategy, migration strategy document, go-live strategy, etc.).
- Participates in reviewing the testing strategy document.
- Prepares high-level design documents including end-to-end solution architecture and integration scenarios with the help of the technical architects.
- Proven experience as an architect and engineering lead in Data & Analytics stream.
- In-depth understanding of data structure principles and data platforms.
- Problem-solving attitude, solution mindset with implementation expertise.
- Working experience on modern data platforms involving big data technologies, data management solutions, and data virtualization.
- Well-versed with end-to-end data management philosophies and governance processes.
- Pre-sales experience and involvement in RFP/RFI/RFQ processes.
- Creative problem-solver with strong communication skills.
- Excellent understanding of traditional and distributed computing paradigms.
- Excellent knowledge in data warehouse/data lake technology and business intelligence concepts.
- Good knowledge of Relational, No-SQL, and Big Data databases, with the ability to write complex SQL queries.
- Data integration – ETL tools like Talend and Informatica; ingestion mechanisms like Flume & Kafka.
- Data modelling – Dimensional & transactional modelling using RDBMS, No-SQL, and Big Data technologies; experience in Snowflake modelling is an advantage.
- Data visualization – Tools like Tableau, Power BI, and Kibana.
- Master data management (MDM) – Concepts and expertise in tools like Informatica & Talend MDM.
- Big data – Hadoop ecosystem, distributions like Cloudera/Hortonworks, Pig, and HIVE.
- Data processing frameworks – Spark & Spark streaming.
- Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NoSQL (HBase/Cassandra, MongoDB).
- Knowledge of various data modelling techniques and hands-on experience with data modelling tools like ERWin, TOAD, PowerDesigner, etc.
- Experience in cloud data ecosystem - AWS, Azure, or GCP.
- Demonstrate strong analytical and problem-solving capability.
- Good understanding of the data ecosystem, both current and future data trends.
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