Lead technical discovery and customer onboarding for Dreamdata platform, driving implementation and optimization of B2B marketing attribution solutions.
Compensation
Base Salary $110k + variable component + equity
Responsibilities
Own customer onboarding: Lead new customers through a structured onboarding of the Dreamdata Platform, from requirements gathering to a best-in-class Dreamdata setup.
Gather requirements and secure data access: Run kickoff and discovery sessions to understand each new customer’s go-to-market motion, reporting goals, and tech stack, then coordinate access to the CRM, marketing tools, and data sources the implementation depends on.
Validate data and enable customers: Check data quality and attribution outputs against the customer’s expectations, fix setup issues before handoff, and train customer teams on the reports and workflows they need to get value quickly.
Run Build with Dreamdata Clinics: Becoming a thought leader among our customers and use your expertise to customize the Dreamdata platform via Dreamdata's Agent, MCP Server or Data Warehouse based on customer needs.
Improve the onboarding playbook: Document and automate repeatable processes, templates, and best practices, and share customer feedback and recurring technical issues with Product, Sales Engineering, and Customer Success to constantly improve on the customer experience.
Software Engineer Level 2 supporting the Fort Meade Customer, developing, integrating, maintaining, and optimizing software applications, cloud-based systems, and large-scale data processing solutions.
Compensation
USD $210,000.00 - USD $225,000.00 /Yr.
Responsibilities
Design, develop, test, and maintain software applications using Java, Python, and other relevant technologies.
Develop and support cloud-based applications and services within AWS environments.
Build and optimize large-scale data processing and analytics solutions.
Support distributed computing environments using technologies such as Hadoop, Accumulo, Spark, and MapReduce.
Develop and maintain data ingestion pipelines, ETL workflows, and enterprise analytics capabilities.
Design and govern the end-to-end data landscape for an integrated supply chain e-commerce platform, focusing on data modeling, ETL, governance, and real-time analytics.
Compensation
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Responsibilities
Design and maintain comprehensive data models for all data domains
Architect and implement scalable ETL/ELT pipelines
Define and enforce data governance policies with GDPR compliance
Design and implement real-time analytics infrastructure
Plan data retention, archiving, and purging strategies