- Lead technical solutioning for pre-sales engagements, including RFP responses, POCs, roadmaps, and estimations.

- Design and architect data engineering solutions leveraging cloud platforms (AWS/Azure) and modern data technologies.

- Define solution architecture, including data ingestion, transformation, storage, and analytics pipelines.

- Collaborate with business and technical stakeholders to translate business requirements into scalable, secure, and cost-effective solutions.

- Provide effort estimations, project sizing, resource planning, and implementation roadmaps.

- Hands-on experience in building POCs and validating architectural approaches.

- Ensure solutions adhere to security, governance, and compliance standards.

- Guide development teams during solution implementation and provide technical leadership.

- Stay up-to-date with emerging cloud, data engineering, and analytics technologies.

Required Skills & Qualifications :

Cloud Platforms :

- Deep expertise in AWS (S3, Lambda, EC2) and/or Azure (Data Lake, Synapse) services.

Data Platforms & Engineering :

- Hands-on experience with Snowflake, Databricks, or Microsoft Fabric.

- Strong skills in ETL/ELT pipelines, data modeling, data warehousing, and real-time data processing.

Programming & Development :

- Proficient in Python, SQL; knowledge of Scala or Java is a plus.

- Familiarity with DevOps & CI/CD tools : Terraform, Git, Docker, and CI/CD pipelines.

Solutioning & Pre-Sales Expertise :

- Ability to create POCs, solution architecture, implementation plans, and estimations.

- Experience in translating business requirements into technical solutions.

- Strong understanding of security, access control, and compliance frameworks.

Additional Skills :

- Strong leadership and communication skills.

- Experience in effort estimation, resource planning, and project sizing.

- Proven track record of delivering high-quality, enterprise-grade solutions.

Preferred Qualifications :

- Experience in large-scale enterprise cloud migrations or Data Lake implementations.

- Exposure to real-time data streaming, event-driven architectures, or AI/ML pipelines.

- Certification in AWS Solutions Architect or Azure Data/Cloud certifications