Solutions Architect

About the role

We are seeking a Solutions Architect to lead technical conversations with clients, design end‑to‑end cloud solutions on AWS, and support the full pre‑sales cycle. The role bridges business needs with our AI‑driven capabilities, focusing on data engineering, analytics, and AI/ML implementations.

Key responsibilities

• Conduct technical discovery sessions to uncover business challenges, data maturity, and strategic goals.
• Design comprehensive AWS architectures, including service selection, integration, security, and implementation roadmaps.
• Prepare technical proposals, RFP responses, architecture diagrams, effort estimates, and pricing models.
• Deliver executive presentations and solution walkthroughs to C‑level and technical audiences.
• Lead solution design workshops and proof‑of‑concepts to validate approaches with client teams.
• Collaborate with delivery teams to ensure feasibility, refine estimates, and plan resources.
• Maintain post‑sales relationships to ensure smooth transition to delivery.
• Contribute to the company’s solutions portfolio and enable commercial teams technically.

Required profile

• 5+ years of hands‑on cloud architecture experience, primarily on AWS.
• Proven ability to design data lakes, data warehouses, and data pipelines.
• Practical knowledge of AI/ML and generative AI integration.
• Strong analytical thinking with ability to write and explain Python and SQL code.
• Solid understanding of data modeling, Star Schema design, and cloud security principles.

Required skills

• AWS services: EC2, S3, RDS, Lambda, Glue, EMR, Athena, Redshift, Lake Formation, SageMaker, Bedrock.
• Data engineering: data lake, data warehouse, pipeline orchestration, data quality frameworks.
• Programming: Python, SQL.
• Data modeling and Star Schema design.
• Cloud security: IAM, encryption, regulatory compliance, AWS Well‑Architected framework.