Cloud Architect Role As a cloud architect in this role, you will be responsible for designing and implementing modern data platforms that power large-scale digital transformation. Key Responsibilities - Develop end-to-end data architecture strategies leveraging AWS, ensuring scalability, reliability, and alignment with business objectives. - Lead the selection and application of data technologies, frameworks, and patterns tailored to business needs. - Develop and maintain architectural roadmaps for data platform modernization and cloud-native initiatives. Solution Design & Delivery - Translate business requirements into robust, scalable data solutions using AWS-native services and Scala-based frameworks. - Design and implement data ingestion, processing, storage, and analytics pipelines with high availability and performance. - Build reusable components and frameworks to streamline development and accelerate delivery. Technical Leadership - Provide architectural guidance and mentorship to data engineering teams. - Review solution designs to ensure adherence to engineering best practices and standards. - Support project estimation and contribute to delivery plans and technical roadmaps. Client Engagement & Collaboration - Collaborate with business and technical stakeholders to align data strategies with organizational goals. - Facilitate architecture reviews, technical deep dives, and collaborative design sessions. Operational Excellence - Oversee the performance, observability, and automation of data platforms in production environments. - Drive continuous improvements in platform health, data quality, and operational efficiency. Required Skills and Qualifications Key Skills and Experience - Proven experience leading data engineering teams and delivering cloud-native data platforms on AWS. - Strong programming expertise in Scala, particularly for distributed data processing and ETL workflows. - Hands-on experience with AWS services including S3, Glue, EMR, Lambda, Redshift, Athena, and DynamoDB. - Deep understanding of data modeling, data warehousing, and stream/batch data processing frameworks (e.g., Apache Spark). - Familiarity with infrastructure-as-code and CI/CD for data pipelines (e.g., Terraform, Git, Jenkins). - Strong communication skills and stakeholder engagement experience in client-facing environments. What Sets You Apart - Experience implementing DataOps and DevOps practices in cloud data environments. - Exposure to multi-cloud or hybrid cloud architectures (AWS, GCP, Azure). - Knowledge of observability, logging, and performance optimization strategies for data platforms.