Senior Specialist - Data

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.

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.

When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.

Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

The SME, Data and Analytics/ 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 lead role with deep technical expertise who can also steer strategic initiatives to success.

Roles & Responsibilities

• Spearhead the implementation, performance fine-tuning, 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.
  
  

• 8-10 years of experience in data engineering, solution design, or data architecture with strong AWS exposure.
• Proven experience designing and implementing AWS data services (such as S3, Redshift, Athena, Glue, Lambda, etc.) and a solid understanding of data service design patterns.
• Demonstrated expertise and hands-on proficiency in PySpark for designing, building, and optimizing large-scale batch and streaming data pipelines on AWS—essential for this role.
• Proficiency in Infrastructure as Code for infrastructure automation, version control integration, and CI/CD-driven deployment and management of AWS data infrastructure.
• Expertise in building large-scale data platforms, including enterprise level Data Lakehouse, Data warehouse 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.
• Collaborate with cross-country stakeholders to align requirements, dependencies, and implementation timelines.
• Demonstrate ability to optimize cloud costs and resource utilization in large-scale data environments without compromising performance.
• 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.
  
  

• Experience within the Insurance domain is an added advantage.
• Solid understanding of data governance frameworks and Master Data Management principles.
• AWS or relevant cloud/data certifications are an advantage
• Experience with API-based integration patterns for data pipelines and system connectivity.