Description

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.

Requirements

• 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;

• Proven 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.