Job
Description
Role Overview: As a Lead Solution Designer at the company, you will play a pivotal role within the evolving Data Engineering team by leading the strategic implementation of data solutions on AWS. Your responsibilities will include driving the technical vision and execution of cloud-based data architectures to ensure scalability, security, and performance while addressing both business and technical requirements. You will be expected to be a hands-on leader with deep technical expertise and the ability to steer strategic initiatives to success. Key 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. - Coordinate 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. Qualifications: - 10+ years of hands-on experience in developing and architecting data solutions, with a strong background in AWS cloud services. - 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 situations. - Good to have: Experience within the Insurance domain is an added advantage, solid understanding of data governance frameworks and Master Data Management principles. (Note: Additional details of the company were not present in the provided job description.) Role Overview: As a Lead Solution Designer at the company, you will play a pivotal role within the evolving Data Engineering team by leading the strategic implementation of data solutions on AWS. Your responsibilities will include driving the technical vision and execution of cloud-based data architectures to ensure scalability, security, and performance while addressing both business and technical requirements. You will be expected to be a hands-on leader with deep technical expertise and the ability to steer strategic initiatives to success. Key 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. - Coordinate 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
