Staff Data Engineer Lead

Wiser Solutions is seeking a Staff Data Engineer to lead and architect our global Commerce Execution Suite. As part of our remote-first team, you'll drive the development of scalable data pipelines and analytics platforms that empower brands and retailers to optimize pricing, marketing, and operational strategies both online and in-store. Work with vast datasets, cutting-edge technologies, and cross-functional teams to deliver robust data solutions that create seamless shopping experiences.

Job Overview

• Lead the design and development of data architectures for large-scale data collection and analytics.
• Collaborate with product and engineering leaders to define solutions supporting customer needs.
• Mentor team members and promote best practices across engineering teams.
• Champion high standards for data quality and reliability.
• Innovate and bring new ideas for optimizing and scaling data systems.

Key Responsibilities

• Architect and extend data pipeline services using modern data processing tools.
• Transform raw, unstructured data into actionable insights for customers.
• Diagnose and resolve data abnormalities and ensure system reliability.
• Shepherd projects from conception through production deployment.
• Lead agile ceremonies and provide technical guidance to team members.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 10+ years of professional software engineering experience.
• Strong proficiency in Python, SQL, and data processing technologies (Spark, Airflow).
• Experience with AWS, Docker, Kubernetes, and infrastructure as code (Terraform).
• Expertise in database solutions (Snowflake, MongoDB, Postgres, etc.).
• Solid understanding of streaming platforms (Kafka, Kinesis).
• Proven track record building data warehouses and lakes.
• Experience with business intelligence tools (Tableau).
• Familiarity with ML/Agentic AI pipelines and microservice architecture.
• Excellent mentorship and leadership skills in an agile environment.