Data Engineer Lead | $140k-$175k + Hybrid + Equity | Exciting High Growth AI Operational Intelligence Startup

PhillyTech.Co • Radnor Township, PA

14h • $140,000 - $175,000 • Hybrid

About The Position

Our client is hiring a Data Engineer Lead to help architect and scale the company’s AI native data foundation from the ground up. You will own the pipelines, warehouse architecture, data ingestion systems, and infrastructure powering AI workflows, customer analytics, and enterprise scale data processing. You will work closely with leadership, AI Engineers, and Full Stack Engineers to build scalable systems that support real time intelligence, AI workflows, and multi tenant SaaS operations.

Requirements

• 3-7+ years of experience building, shipping, and supporting production-grade data pipelines, infrastructure, and distributed systems used in real-world customer environments.
• Experience with AI/LLM infrastructure, embeddings, vector databases, or RAG systems.
• Strong understanding of multi-tenant architecture and enterprise-grade data systems.
• Strong SQL fundamentals and deep PostgreSQL experience.
• Strong Python experience for data engineering and infrastructure work.
• Experience with dbt, Dagster, Airflow, Kafka, or equivalent modern tooling.
• Experience working within SaaS or AI-native platforms.
• Startup mindset with strong ownership, communication, and execution skills.
• Extremely organized and self sufficient with the ability to work independently in a fast paced environment with changing requirements.
• Excited to work in a startup environment with a track record of being adaptable to changing priorities in a fluid high growth environment.

Responsibilities

• Build and scale production grade data pipelines and infrastructure.
• Design warehouse architecture, schema strategy, and data models for a multi-tenant SaaS platform.
• Support AI workflows, embeddings pipelines, vector databases, and retrieval systems.
• Build real-time and batch integrations across enterprise systems and third-party platforms.
• Own data quality, observability, lineage, and monitoring systems.
• Partner closely with Applied AI Engineers on production AI infrastructure.
• Support enterprise-grade security, compliance, and regulated data environments.
• Help define long-term data architecture and platform scalability strategy.

Benefits

• 10 days PTO
• Equity
• Paid holidays
• Work from home equipment provided, including laptop and monitors
• Health, medical, and vision coverage
• Early stage startup environment with direct impact on product and company growth
• Opportunity to help shape the future of an AI native enterprise platform

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed