Senior Solution Architect (Data Engineering)

7–9 years of experience in Data Engineering. 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. Excellent verbal and written communication skills. 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.

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.