Senior Solution Architect (Data Engineering)

📋 Description

• • We are seeking a highly skilled and experienced Senior Solution Architect to join our dynamic team, focusing on the design and implementation of cutting-edge data engineering solutions within the Amazon Web Services (AWS) cloud environment.
• • This pivotal role demands a unique blend of deep technical expertise in modern data platforms and exceptional client-facing and leadership capabilities. You will be instrumental in architecting and delivering scalable, efficient, and business-aligned data solutions that drive significant value for our clients.
• • Your primary responsibility will be to lead the end-to-end design and delivery of robust data platforms and sophisticated analytics solutions hosted on AWS. This involves understanding complex business challenges and translating them into actionable, technically sound architectural blueprints.
• • You will serve as the primary technical authority, making critical architecture decisions, defining strategic roadmaps, and establishing best practices for data engineering projects.
• • A core aspect of the role involves designing and overseeing the implementation of comprehensive data ecosystems, including data lakes, data warehouses, intricate data pipelines, and advanced analytics solutions, ensuring they meet current and future business needs.
• • A key focus will be on optimizing the performance, reducing latency, and managing cloud costs effectively by making informed selections of AWS services and architectural patterns.
• • You will be expected to meticulously review code, create comprehensive technical documentation for all solutions, and ensure the highest standards of technical delivery and quality across all projects.
• • This role also offers the opportunity to mentor and guide junior Data Engineers, fostering their growth and contributing to the development of team standards, best practices, and internal frameworks to enhance overall team capability.
• • Furthermore, you will play a supporting role in pre-sales activities, including technical assessments and proposal development, leveraging your expertise to articulate our data engineering capabilities and solutions to prospective clients.
• • The ideal candidate will possess a profound understanding of data warehouse and lakehouse architectures, with a particular emphasis on modern paradigms such as the Medallion Architecture, ensuring data quality, governance, and accessibility.
• • You will be adept at designing and implementing efficient ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, understanding the nuances of data movement and transformation for various analytical purposes.
• • A strong foundation in dimensional data modeling, particularly using the Kimball methodology, will be essential for creating effective and performant data structures.
• • Advanced SQL skills are a prerequisite, enabling you to query, manipulate, and analyze data with precision and efficiency.
• • You will also bring a solid background in working with relational databases, understanding their principles and best practices.
• • Experience with Agile methodologies, CI/CD pipelines, and DevOps practices is crucial for ensuring iterative development, continuous integration, and efficient deployment of data solutions.
• • Proven experience in designing, architecting, and successfully delivering complex data solutions on AWS, with a demonstrated ability in cost management and optimization, is paramount.
• • Excellent verbal and written communication skills in English are vital for interacting with clients, team members, and stakeholders.
• • You should possess strong client-facing experience, capable of building rapport, managing expectations, and delivering technical presentations effectively.
• • The ability to work autonomously, lead projects from inception to completion, and manage multiple priorities simultaneously is expected.
• • A proactive, solution-oriented mindset, coupled with a strong sense of ownership and accountability, will be key to success in this role.
• • Finally, strong collaboration, leadership, and mentoring abilities are essential for fostering a positive and productive team environment.