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

Our client is hiring a Data Engineer Lead to help architect and scale the companys 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.

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.

Qualifications :

• 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.

Additional Information :

Interview Process

• Initial conversation with our recruiting team (SaaS Talent)
• 1 hour introductory conversation with Founder / CEO
• Technical deep dive/system design interview
• Final 30 minute conversation with leadership and founders

About SaaS Talent

SaaS Talent is more than just a recruiting company. Were your hiring business development and growth partner with 20 years of experience in SaaS and Hi-Tech that helps you scale and transform your business. Weve worked with 100 companies and helped them achieve their goals. From streamlining sales marketing and operations to hiring ideal talent and getting funding if youre struggling to grow were an ideal choice.

Reach out to us at  to learn more about how we can help you.

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No

Employment Type :

Full-time