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.
Key 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.
Key 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.
