Data Solutions Engineer (Pre-Sales)

Job Summary:

We are seeking a technically hands-on Data Solutions Engineer to bridge the gap between our innovative data management/product platform and our clients. You will be the technical expert in customer-facing scenarios, architecting and demonstrating solution proofs-of-concept (POCs) that prove value and drive adoption in the cloud data engineering space.

Key Responsibilities:

· Serve as the primary technical expert during the sales cycle, understanding client data challenges and architecting solutions using our platform.

· Design, build, and deliver compelling, hands-on Proofs-of-Concept (POCs) that demonstrate our product's capabilities against real-world customer data and use cases.

· Translate complex product features into clear business value for technical and non-technical audiences.

· Partner closely with the sales team to qualify opportunities, provide technical discovery, and overcome technical objections.

· Act as the critical feedback loop between customers and our product/engineering teams, conveying market needs and use cases.

· Develop reusable technical assets, demos, and best practice guides to scale the pre-sales process.

Qualifications:

· Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

· 3+ years in a hands-on data engineering, data management, or solutions consultant role with customer-facing experience.

· Strong understanding of the modern data stack, cloud data platforms (Snowflake, BigQuery, Redshift), and ETL/ELT concepts.

· Proficiency in SQL is mandatory; scripting skills (Python, Bash) are a strong plus.

· Proven ability to build and present technical demonstrations and POCs.

· Excellent communication and presentation skills, with the ability to explain technical concepts to diverse audiences.

Preferred Skills:

· Direct pre-sales/sales engineering experience in data, analytics, or cloud infrastructure.

· Experience with data governance, cataloging, or data quality tools.

· Knowledge of data orchestration tools (Airflow, Prefect) and transformation tools (dbt).

· A portfolio of past POCs, demos, or public technical talks is a significant advantage.

Why Join Us?

· Work at the intersection of cutting-edge data technology and real customer impact.

· Influence product strategy directly through frontline customer feedback.

· A dynamic role with a mix of deep technical work and strategic client interaction.

· Competitive salary, commission structure, and comprehensive benefits.

Interested candidates are invited to apply here on LinkedIn and/or send their resume to dhivagar.j@prism-analytics.org