Lead Feature Engineer

Pittsburgh, PA, US • Posted 5 days ago • Updated 5 days ago
Full Time
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Machine Learning
  • Python
  • Feature Engineering
  • MLOPS

Summary

Feature Engineer Lead who must be willing to work onsite in Pittsburgh, PA 5 days per week.

Tech:

MLOps Pipeline

OpenShift

Git

Linux

Programing language:

Python

SQL

Spark

Hive
Job description :

  • Define and drive feature engineering strategy and roadmap
  • Establish standards, governance, and best practices for reusable features
  • Lead design of enterprise feature architecture and pipelines
  • Oversee delivery of feature engineering backlog and priorities
  • Ensure alignment across Feature Engineering, Platform, and Data Science teams
  • Act as technical decision-maker and escalation point
  • Drive adoption of feature store and reusable feature model
  • Manage and mentor Senior Feature Engineers and Feature Engineers
  • Partner with stakeholders to align features with business outcomes

Technical Leadership

  • Deep expertise in feature engineering architecture and pipelines
  • Advanced understanding of feature stores and ML platforms
  • Experience designing enterprise-scale data systems
  • Strong understanding of ML lifecycle and feature reuse strategy

Engineering & Platform

  • Scalable architecture design (batch + real-time features)
  • End-to-end platform integration (CI/CD, pipelines, feature store)
  • Data governance, lineage, and standardization

Leadership & Strategy

  • Team leadership and talent development
  • Roadmap planning and backlog prioritization
  • Stakeholder management (business + technical leadership)
  • Cross-team coordination and alignment

Soft Skills

  • Strategic thinking with execution focus
  • Strong communication (executive + technical audiences)
  • Ability to drive adoption and organizational change
  • 10 15+ years in Data Engineering / ML Engineering / Platform Engineering
  • 3 5+ years in leadership or lead role (tech lead or team lead)
  • Experience building or scaling enterprise data/feature platforms
  • Proven ability to define architecture, standards, and governance models
  • Experience managing cross-functional teams and large initiatives
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91132139
  • Position Id: 8994477
  • Posted 5 days ago
Contact the job poster
FA

Faraz Aahmad

Recruiter @ Veridic Solutions
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