Solutions Architect

Job Description:
The Data Architect will work across conceptual, logical, business areas, and application layers to ensure robust and efficient data architecture that supports the client's strategic goals for data-driven decision-making.
 
Position Requirements:
Formal Education & Certification:

• Bachelor's degree in computer science, information systems, data science, or a related field.
• Relevant certifications in data warehousing, data modeling, or database administration (e.g., Certified Data Management Professional (CDMP), AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure Data Engineer Associate) are a plus.

Knowledge & Experience:

• 5 years of work experience as a data architect, data warehouse architect, or similar role, with a focus on data integration and reporting.
• Hands-on experience with data architecting, data modeling (dimensional modeling, relational modeling), ETL/ELT processes, and requirements gathering/analysis, preferably within a complex data environment.
• Direct experience in implementing data management processes, procedures, and decision support systems.
• Database Administration and Performance Tuning: Knowledge of database management systems and techniques for optimizing performance.
• Strong understanding of relational data structures, theories, principles, and practices, as well as data warehousing concepts.
• Demonstrated expertise with data warehouse design, development, and data and information system lifecycle methodologies.
• Experience with business requirements analysis, entity-relationship modeling, dimensional modeling, database design for reporting and analytics, and the creation of reporting structures.
• Ability to manage data migration into a data warehouse environment.
• Experience with various database platforms (e.g., Microsoft SQL Server, Oracle)
• Understanding of data security principles and best practices relevant to sensitive data.
• Experience with data processing flowcharting techniques and data flow diagrams.
• Proven ability to work independently and collaboratively within a team environment.

Personal Attributes:

• Excellent written and oral communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
• Strong presentation and interpersonal skills, with the ability to effectively communicate with personnel and other stakeholders.
• Ability to present technical ideas in a user-friendly language.
• Strong analytical and problem-solving skills.
• Attention to detail and a commitment to data quality.