Senior Data Sales Engineer - Analytics & Architecture

CentralReach, LLC; Holmdel Township (NJ); Hybrid; USD 125,000 - 160,000; Full time

Benefits offered by this job

Health benefits

PTO

401(k) matching

Parental leave

Hybrid work model

Job summary

CentralReach is seeking a Senior Sales Consultant to own the technical side of data opportunities, partnering with Account Managers and executives to translate customer data needs into credible solutions. Based in Holmdel, NJ with a hybrid work model, this role influences product direction and drives ROI, from discovery through close, across BI, data warehouse, APIs, and benchmarking.

The Data Products team collaborates across data architecture and analytics to deliver measurable customer

Qualifications

• 5+ years in sales engineering or pre-sales for a technical B2B product.
• Proven track record closing technically won deals.
• Experience selling to data and engineering leaders plus business buyers.
• Excellent written and verbal communication with technical precision.
• Bias toward action in a process-building team.

Responsibilities

• Own the technical portion of the sales process from discovery to close.
• Lead technical discovery and translate findings into designs for BI, data warehouse, APIs, benchmarking.
• Deliver tailored demos linked to measurable outcomes.
• Create ROI models, TCO, and business cases for customers.
• Provide feedback to Product and Engineering from customer input.

Skills

Sales engineering

Pre-sales architecture

Enterprise AI

Data analytics

Data infrastructure

Tools

Snowflake

Databricks

dbt

Looker

APIs

Job description

CentralReach is seeking a Senior Sales Consultant to own the technical side of data opportunities, partnering with Account Managers and executives to translate customer data needs into credible solutions. Based in Holmdel, NJ with a hybrid work model, this role influences product direction and drives ROI, from discovery through close, across BI, data warehouse, APIs, and benchmarking.

The Data Products team collaborates across data architecture and analytics to deliver measurable customer