Senior Solution Architect (Data Engineering)

We are looking for a Senior Solution Architect with strong experience in Data Engineering and modern data platforms on AWS. This role requires deep technical expertise combined with strong client-facing and leadership skills to design scalable, efficient, and business-driven data solutions. ### Key Responsibilities * Lead the design and delivery of scalable data platforms and analytics solutions on AWS; * Partner with clients to understand business requirements and translate them into technical architectures; * Act as technical lead, defining architecture decisions, roadmaps, and best practices; * Design and oversee data lakes, data warehouses, pipelines, and analytics solutions; * Optimize performance, latency, and cloud costs through appropriate service selection; * Review code, document solutions, and ensure high-quality technical delivery; * Mentor Data Engineers and contribute to team standards and internal frameworks; * Support pre-sales activities and technical assessments when required. * **7–9 years of experience in Data Engineering;** * **Advanced or fluent English** * Strong hands-on experience with: * **Snowflake** * **dbt** * **Airflow** * **Databricks** * **Redshift** * **Palantir** * Deep knowledge of data warehouse and lakehouse architectures, including Medallion Architecture; * Experience with ETL and ELT processes; * Strong background in dimensional data modeling (Kimball methodology); * Advanced SQL skills; * Solid experience with relational databases; * Hands-on experience with Agile methodologies, CI/CD, and DevOps practices; * P**roven experience designing and delivering AWS-based solutions, including cost management.** ### Required Skills * Excellent verbal and written communication skills (English); * Strong client-facing experience; * Ability to work independently and lead projects end to end; * Proactive, solution-oriented mindset with strong ownership; * Strong collaboration, leadership, and mentoring abilities. ### Additional Information * Fully remote position; * Availability to work with teams and clients aligned with US ET and CT time zones is preferred.