[Hiring] Forward Deployed Engineer @Datavations

Role Description

• Manage client relationships and provide technical support to maintain excellence and drive new product development.
• Support end-to-end implementations to ensure data quality, adoption, and customizations needed for customer satisfaction.
• Quarterback account teams and engineering resources to drive success for our customers.
• Execute on customer needs leveraging technical skillsets in a timely manner.
• Attain a holistic understanding of the entire technology from data aggregation to product delivery.
• Develop and scale the technology from ‘data pipelining’ to ‘innovation’, to ensure accuracy of our data, as measured against client feedback.
• Develop new product lines such as local pricing, ecommerce intelligence, and supply chain analysis to drive ROI for clients.
• Leverage Data Visualization and UI/UX knowledge to increase customer adoption and ease of use.
• Collaborate with our data science, engineering, and sales teams.
• Adopt a self-starter mentality, and inspire customers to drive value out of our data products.
• Commit to rigorous documentation of coding efforts and train incoming employees and contribute to platform engineering efforts.

Qualifications

• Analytics and/or financial reporting knowledge.
• Deep knowledge in Excel and Power Point, storytelling with data.
• Outstanding expertise and hands-on experience in SQL or Python.
• Project management tools (e.g. Jira).
• Data visualization (e.g. Tableau, Excel, Power BI, Retool).
• Understanding of time-series statistical methods for outlier detection (Prophet, ARIMA, Tukey's Fences).

Requirements

• Proven experience building, deploying, and maintaining dimensional data models using dbt.
• Familiarity with data warehousing solutions (e.g., Snowflake, Google BigQuery, ClickHouse).
• Experience building end-to-end data products.
• Driving actionable insights from alternative data sources.
• Retail/e-commerce, market research, startup, or analytical experience.
• Working with retail or consumer data.
• Scaling BI infrastructure to 10Tb+ data ingestion.
• Hacker mentality.

Benefits

• Impact at Scale: Influence a $2.3 trillion industry by shaping how data science accelerates ROI for major manufacturers.
• Autonomy & Growth: Enjoy the freedom to experiment with new technologies and see your ideas realized in production.
• Collaborative Culture: Work alongside a supportive team that values positivity, proactive ownership, and continuous learning.
• Professional Development: Work with Terraform, OpenTelemetry, GenAI coding tools, and modern technologies.

Compensation

The average range for this role is $130,000 - $170,000 depending on experience, skills, and alignment with the role’s responsibilities. This range reflects our current national expectations for qualified candidates. Exceptional candidates based in our NYC office may be considered for a higher range. Total compensation may also include equity, performance bonuses, and a comprehensive benefits package. We’re committed to paying competitively and equitably, and we regularly review our compensation structures to ensure they align with the market and support our values.