Data Solutions Designer

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 patterns.
• Expertise in building large-scale data platforms, including Data Lakehouse, Data Warehouse, Master Data Management, and Advanced Analytics systems.
• Ability to effectively communicate complex technical solutions to both technical and non-technical stakeholders.
• Experience working with multi-disciplinary teams and aligning data strategies with business objectives.
• Demonstrated experience managing multiple projects in a high-pressure environment, ensuring timely and high-quality delivery.
• Strong problem-solving skills, with the ability to make data-driven decisions and approach challenges methodically.
• Proficiency in data solution coding, ensuring access and integration for analytical and decision-making processes.
• Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situation.

Good to have.

• Experience within the Insurance domain is an added advantage.
• Solid understanding of data governance frameworks and Master Data Management principles.

This role is ideal for an experienced data architect who is passionate about leading innovative AWS data solutions while balancing technical expertise with business needs. You'll be instrumental in shaping the future of our data platform across Asia.

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