AWS Data Architect

Job Description

Position Overview We are seeking a highly skilled and experienced Data Architect with expertise in cloud-based solutions. The ideal candidate will design, implement, and optimize our data architecture to meet the organizations current and future needs. This role requires a strong background in data modeling, transformation, and governance, along with hands-on experience with modern cloud platforms and tools such as Snowflake, Spark, Data Lakes, and Data Warehouses. The successful candidate will also establish and enforce standards and guidelines across data platforms to ensure consistency, scalability, and best practices. Exceptional communication skills are essential to collaborate across cross-functional teams and stakeholders. Key Responsibilities Design and Implementation: Architect and implement scalable, secure, and high-performance cloud data platforms, integrating data lakes, data warehouses, and databases. Develop comprehensive data models to support analytics, reporting, and operational needs. Data Integration and Transformation: Lead the design and execution of ETL/ELT pipelines using tools like, Talend / Matillion, SQL, BigData, Hadoop, AWS EMR, Apache Spark to process and transform data efficiently. Integrate diverse data sources into cohesive and reusable datasets for business intelligence and machine learning purposes. Standards and Guidelines: Establish, document, and enforce standards and guidelines for data architecture, Data modeling, transformation, and governance across all data platforms. Ensure consistency and best practices in data storage, integration, and security throughout the organization. Data Governance: Establish and enforce data governance standards, ensuring data quality, security, and compliance with regulatory requirements. Implement processes and tools to manage metadata, lineage, and data access controls. Cloud Expertise: Utilize Snowflake for advanced analytics and data storage needs, ensuring optimized performance and cost efficiency. Leverage modern cloud platforms to manage data lakes and ensure seamless integration with other services. Collaboration and Communication: Partner with business stakeholders, data engineers, and analysts to gather requirements and translate them into technical designs. Clearly communicate architectural decisions, trade-offs, and progress to both technical and non-technical audiences. Continuous Improvement: Stay updated on emerging trends in cloud and data technologies, recommending innovations to enhance the organization s data capabilities. Optimize existing architectures to improve scalability, performance, and maintainability. Technical Skills: Strong expertise in data modeling (conceptual, logical, physical) and data architecture design principles. Proficiency in Talend / Matillion, SQL, BigData, Hadoop, AWS EMR, Apache Spark,