Data Forward Deployed Engineer – Applied Data & ML Engineering
Core
Forward Deployed Engineer building trusted data products and production ML models for enterprise clients by harmonizing fragmented data across ERP, CRM, HCM, and finance systems.
Role type
Senior Applied Data & ML Engineer (Forward Deployed)
Builds
Scalable ETL/ELT pipelines, canonical data models, and production ML models for enterprise clients
Domain
Enterprise Data Engineering & Applied Machine Learning
Deliverable
production ML models
Required skills
SQL, Python, Data Modeling, ETL/ELT, Machine Learning, Feature Engineering, Cloud Platforms, dbt, Data Reconciliation, Client Stakeholder Management
Preferred skills
Snowflake, Databricks, Spark/PySpark
Technologies
SQL, Python, dbt, AWS, GCP, Azure, Snowflake, Databricks, Spark, PySpark
Responsibilities
Embed with client teams to scope data and ML problems; Design and develop scalable ETL/ELT pipelines; Design canonical enterprise data models and mapping rules; Engineer features and build models for forecasting and anomaly detection; Deploy models to production and monitor them; Turn repeated client patterns into reusable components for the platform.
Seniority
Senior, hands-on IC