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CBTS · 1 day ago

Pre-Sales Technical Solutions Engineer – Data Analytics & AI

United States

Full-time

Remote

Senior Level

$99K/yr - $134K/yr

7+ years exp

CBTS is a company focused on delivering innovative data solutions, and they are seeking a Pre-Sales Technical Solutions Engineer specializing in Data Analytics and AI. This role involves acting as a technical liaison between the sales team and clients, leading discovery sessions, architecting data solutions, and delivering technical presentations.

Cloud ComputingCloud InfrastructureConsultingInformation TechnologyService Industry

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Partner with Account Executives to qualify analytics and AI opportunities and conduct technical discovery workshops with C-suite, VP, and Director-level stakeholders

Design high-level data and AI architectures (data pipelines, ingestion patterns, analytics layers, ML workflows, and governance models) tailored to enterprise requirements

Deliver technical demos, POCs, and whiteboard sessions showcasing data modernization, AI/ML capabilities, and platform automation

Lead RFP/RFI responses including technical write-ups, estimates, migration strategies, risk assessments, and TCO/ROI models

Develop reusable data and AI reference architectures, engineering patterns, and demo assets

Stay ahead of industry trends in advanced analytics, real-time data processing, MLOps, generative AI, and data governance

Collaborate with delivery teams to ensure proposed data and AI solutions are feasible, scalable, and profitable

Qualification

Data engineeringMachine learningCloud data platformsAI platform designMLOpsReal-time analyticsData governanceConsultative skillsBusiness acumenTechnical presentationsStorytelling

Required

Deep expertise in enterprise data platforms, analytics, machine learning

Ability to translate complex business needs into clear and credible data-driven roadmaps for organizations with 1,000+ employees

Partner with Account Executives to qualify analytics and AI opportunities and conduct technical discovery workshops with C-suite, VP, and Director-level stakeholders

Design high-level data and AI architectures (data pipelines, ingestion patterns, analytics layers, ML workflows, and governance models) tailored to enterprise requirements

Deliver technical demos, POCs, and whiteboard sessions showcasing data modernization, AI/ML capabilities, and platform automation

Lead RFP/RFI responses including technical write-ups, estimates, migration strategies, risk assessments, and TCO/ROI models

Develop reusable data and AI reference architectures, engineering patterns, and demo assets

Stay ahead of industry trends in advanced analytics, real-time data processing, MLOps, generative AI, and data governance

Collaborate with delivery teams to ensure proposed data and AI solutions are feasible, scalable, and profitable

7+ years in data engineering, analytics architecture, machine learning engineering, or technical pre-sales

2+ years supporting enterprise analytics or AI initiatives in a consultative environment

Proven track record supporting or closing enterprise-scale data & AI deals with organizations of 1,000+ employees

Hands-on experience designing and scoping cloud-native data platforms, pipelines, and ML solutions

Deep expertise in data engineering & pipeline design

Deep expertise in cloud data platforms (Snowflake, Databricks, BigQuery, Synapse, Redshift)

Deep expertise in MLOps, model deployment & monitoring

Deep expertise in real-time analytics (Kafka, Kinesis, Pub/Sub)

Deep expertise in enterprise data governance & cataloging

Exceptional storytelling and presentation skills—able to simplify complex data and AI concepts for executive audiences

Strong business acumen—understands how analytics and AI drive P&L, operational efficiency, and competitive advantage

Consultative discovery skills with ability to uncover unstated data and AI needs

Comfortable engaging with CIO, CDO, CTO, VP of Data, and senior IT leadership

Ability to defend architectural decisions while maintaining strong customer relationships

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field

Preferred

Snowflake SnowPro Advanced, Databricks Data/ML Engineer, or equivalent certifications

AWS, Azure, or GCP Data Engineer / AI Engineer certifications

Machine Learning certifications such as AWS ML Specialty, Azure AI Engineer Associate, or Google Professional ML Engineer

MBA or business-oriented coursework

Company

CBTS

Glassdoor4.0

CBTS provides end-to-end IT and communications solutions that allow businesses to improve efficiency, enable innovation, and mitigate risk.

Founded in 1994

Cincinnati, Ohio, USA

1001-5000 employees

https://www.cbts.com

H1B Sponsorship

CBTS has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2020 (1)