Job Description

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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.

Requirements

- 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.
- Valuable 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.
- AWS or relevant cloud/data certifications are an advantage
- Experience with API-based integration patterns for data pipelines and system connectivity.

This role is ideal for a hands-on Data Solution Designer who can balance solution design, technical delivery, and business alignment across regional teams.

Job Category:

IT - Digital Development

Posting End Date:

21/10/2026

📌 Senior Specialist - Data (India)
🏢 Sun Life
📍 India