Data Architect

Inspiration

Data Architecture drives our comprehensive data strategy, and we're seeking a skilled Data Architect to enhance our business operations and elevate our customer experience.

Responsibilities

• Collaborate with business domain leaders, product owners/managers, enterprise architects, and key functional leads to provide superior data solutions.
• Convert business needs into clear and intuitive conceptual and logical data models, ensuring they are accessible and comprehensible to all stakeholders.
• Design comprehensive data models to serve as the foundation for seamless and integrated data and analytics platform.
• Create sophisticated application database data models, craft high-level enterprise data flow diagrams, and compile a comprehensive inventory of data sources to enhance organizational data management.
• Identify and write technical enabler features to build a solid foundation and improve overall performance.
• Maintain meticulous cataloging and delineation of data lineage, ensuring transparency and traceability across the organization.
• Analyze resource utilization within data solutions and propose improvements to optimize efficiency.
• Troubleshoot performance problems, tune, and optimize data solutions.
• Adapt to changing business priorities and technological advancements.
• Steer innovation and direct teams towards implementing forward-thinking solutions.
• Build and maintain systems and architectural documentation.
• Suggest enhancements for technical processes and procedures.
• Assess, create prototypes, and endorse new data technologies and platforms.

Qualifications

• Minimum bachelor's degree required in computer science or relevant areas.
• Master's degree or equivalent is preferred in computer science or relevant areas.
• Minimum 7 years of relevant applied experience in data and analytics.
• Minimum 2 years of applied experience in data architecture.
• Relevant data certifications in cloud technologies are highly desirable.
• Experience in Modern Data Architecture techniques and Cloud-based Data Technologies.
• Proven experience in at least one of the modern ETL tools such as Data Factory, Matillion, dbt, etc.
• Possesses experience in at least one of the contemporary databases technologies such as SQL Server, Oracle, DB2, etc.
• Technology and personal leadership experience in architecting, modeling, and successfully building highly scalable, secure, and resilient data solutions.
• Experience in dimensional data modeling techniques to create a robust data platform for data analytics.
• Proven experience in building different data models (entity, 3NF, Data Vault, etc.) for application database design.
• Experience in creating data flow diagrams and inventory of data sources.
• Proven experience in Relational, Data warehouse, Master Data Management, reporting and analytical technologies.
• Experience in working with cloud data services such as Data Lake, SQL, etc.
• Strong knowledge in data analytics using any one of the cloud-based services such as Power BI, Tableau, Qlik, ThoughtSpot, etc.
• Proficiency with DevOps principles and processes.
• Solid knowledge in resource utilization and providing improvements for performance and cost optimization.
• Experience in any NoSQL database is highly desirable.
• Proficiency in CRM systems such as Salesforce, Dynamics 365, etc.
• Knowledge in Data Science and Artificial Intelligence.
• Knowledge in streaming or real-time analytics.
• Experience in Agile methodologies (Scrum or SAFe frameworks).
• Familiarity with scripting languages such as Python, and/or Git Bash.
• Financial services industry experience or other highly regulated industry experience.