Data Solutions Designer

Job Description

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Sun Life Financial Job Description of the Data Solution Designer Role The Senior Data Solution Designer plays a pivotal role within our evolving Data Engineering team, leading the strategic implementation of data solutions on AWS. You will be responsible for driving the technical vision and execution of cloud-based data architectures, ensuring the platform’s scalability, security, and performance while addressing both business and technical requirements. This role demands a hands-on leader with deep technical expertise who can also steer strategic initiatives to success. Roles & Responsibilities Spearhead the implementation, performance finetuning, development, and delivery of data solutions using AWS core data services, driving innovation in Data Engineering, Governance, Integration, and Virtualization. Oversee all technical aspects of AWS-based data systems, ensuring end-to-end delivery . Coordinating with multiple stakeholders to ensure timely implementation and effective value realization. Continuously enhance the D&A platform to improve performance, resiliency, scalability, and security while incorporating new data technologies and methodologies . Work closely with business partners, data architects, and cross-functional teams to translate complex business requirements into technical solutions. Develop and implement data management strategies, including Data Lakehouse, Data Warehousing, Master Data Management, and Advanced Analytics solutions. Combine technical solutioning with hands-on work as needed, actively contributing to the architecture, coding, and deployment of critical data systems. Ensure system health by monitoring platform performance, identifying potential issues, and taking preventive or corrective measures as needed. Be accountable for the accuracy, consistency, and overall quality of the data used in various applications and analytical processes. Advocate for the use of best practices in data engineering , governance, and AWS cloud technologies, advising on the latest tools and standards. Requirements 10 years of hands-on experience in developing and architecting data solutions, with a strong background in AWS cloud services . Must be skilled in Python , SQL , PySpark Proven experience designing and implementing AWS data services (such as S3 , Redshift , Athena , Glue , etc.) and a solid understanding of data service design pattern

Required Skills