Data Architect

Data Architect We are seeking a highly skilled and experienced Data Architect to join our team. As a Data Architect, you will be responsible for designing, developing, and implementing robust data solutions that support our organization's data needs. The ideal candidate will possess a strong understanding of DB2, Snowflake, Quicksight, Python, and AWS services, along with expertise in data modelling, database design, data integration, data visualization, and data ingest/ingress. Responsibilities: Design and develop scalable data architectures that align with the organization's business objectives and data requirements. Collaborate with stakeholders to understand data needs and translate them into comprehensive data models, ensuring data integrity and quality. Use industry-standard data modelling techniques and tools to create conceptual, logical, and physical data models that represent the organization's data landscape. Evaluate and select appropriate data management technologies and tools, including DB2, Snowflake, Quicksight, Python, and AWS services, to support the organization's data infrastructure. Develop and implement data integration strategies, including ETL/ELT processes, to facilitate the movement and transformation of data across different systems. Design efficient data ingest/ingress mechanisms to acquire data from various sources and ensure its timely and accurate availability for analysis. Design and optimize data storage and retrieval mechanisms, ensuring efficient and high-performance data access. Utilize data visualization tools such as Quicksight to create insightful reports, dashboards, and visualizations that enable data-driven decision-making. Ensure data security and compliance with industry standards and regulations throughout the data lifecycle. Establish and enforce data governance practices, including data naming conventions, data definitions, and data lineage. Collaborate with cross-functional teams, including data engineers, developers, and business analysts, to implement data solutions and provide technical guidance. Stay up-to-date with emerging technologies, trends, and best practices in data management, data modelling, data integration, data visualization, and data ingest/ingress. Requirements: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Proven experience as a Data Architect or a similar role, with a strong track record of designing and implementing data solutions of more than 10 years. In-depth understanding of database technologies such as DB2 and Snowflake, including data modelling, schema design, and performance optimization. Proficiency in data visualization tools like Quicksight to create insightful reports, dashboards, and visualizations. Strong programming skills in Python for data manipulation, analysis, and scripting tasks. Solid knowledge of AWS data services, including data warehousing, data lakes, and serverless computing. Familiarity with data integration techniques and tools, such as ETL/ELT processes and data integration platforms. Experience with data ingest/ingress mechanisms and technologies to acquire data from various sources. Experience with industry-standard data modelling techniques and tools (e.g., ER/Studio, ERwin, Power Designer). Excellent problem-solving and analytical thinking abilities, with a keen attention to detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Ability to adapt to a fast-paced and dynamic work environment. Certifications in relevant technologies, data modelling, and data visualization frameworks are a plus. Cardinal Integrated