Total-TECH Co.
” The Job Description”
- 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 by our software Solutions.
- Attend requirement gathering Workshops and prepares 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.
Personal Skills:
- Certified Data Management Professional (CDMP) by DAMA International.
- Microsoft Certified: Azure Data Engineer Associate.
- AWS Certified Big Data- Specialty.
- IBM Certified Data Architect- Big Data.
- Good Command of the English Language.
- Strong Problem solving and analytical Skills.
- Excellent Communication and Collaboration skills.
- Ability to work well in a team environment.
- Attention to detail and ability to manage multiple tasks simultaneously and strong time management and organizational skills.
BSC. Of Engineering or Computer Science or relevant.
Technical Skills:
- 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 database systems (e.g 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 Practices is Important.
- Programming and Scripting: Proficiency in programming Languages like SQL, Python, or Java is valuable.