Client-Facing Data Engineer & Solutions Lead

Datavations; United States; On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Equity

Performance bonuses

Benefits package

Job summary

Datavations, a New York-based data and AI software company, seeks a results-driven professional to manage client relationships and lead data-driven implementations. You will ensure data quality, drive product adoption, and coordinate cross-functional teams to deliver impactful solutions.

Join a fast-growing team focused on pricing, inventory, and assortment optimization for major manufacturers. Expect collaboration with data science, engineering, and sales, plus opportunities to shape data

Qualifications

• Experience building end-to-end data products.
• Ability to translate business needs into data-driven solutions.
• Strong knowledge of SQL and Python for data processing.

Responsibilities

• 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.

Skills

SQL

Python

Excel

PowerPoint

Data Visualization

Time-series

Tools

Jira

Tableau

Power BI

dbt

Snowflake

Google BigQuery

ClickHouse

Job description

Datavations, a New York-based data and AI software company, seeks a results-driven professional to manage client relationships and lead data-driven implementations. You will ensure data quality, drive product adoption, and coordinate cross-functional teams to deliver impactful solutions.

Join a fast-growing team focused on pricing, inventory, and assortment optimization for major manufacturers. Expect collaboration with data science, engineering, and sales, plus opportunities to shape data