Lead Data Engineer — Lakehouse, Governance & AI-Driven Data

MarLabs; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Marlabs, a global AI and Digital Solutions Consulting firm, seeks a Lead Data Engineer to design, build, and manage its modern data platform, enabling analytics and AI-driven initiatives across industries.

You will lead enterprise data pipelines, lakehouse architectures, and governance while collaborating with AI/ML and security teams to ensure reliability, compliance, and scalable data products.

Qualifications

• 8+ years of data engineering experience with end-to-end data delivery.
• Strong Python and SQL expertise with data modeling and performance optimization.
• Hands-on with lakehouse tech (Iceberg, Delta Lake, Hudi) and cloud data platforms.
• Experience with data governance, lineage, access controls, and compliance.

Responsibilities

• Design, build, and manage scalable data platforms and lakehouse architectures.
• Develop secure data ingestion frameworks (CDC, batch, API, file-based).
• Create data models, semantic layers, and governance metrics.
• Implement data quality, observability, and monitoring for pipelines.
• Collaborate with AI/ML, security, and platform teams to deliver governed data products.
• Establish data governance standards, contracts, and data lineage documentation.

Skills

Python

SQL

Lakehouse architectures

Data modeling

Data governance

Regulatory compliance

Leadership

Tools

Apache Iceberg

Delta Lake

Hudi

Kafka

Debezium

Airflow

Dagster

dbt

Cloud platforms

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, seeks a Lead Data Engineer to design, build, and manage its modern data platform, enabling analytics and AI-driven initiatives across industries.

You will lead enterprise data pipelines, lakehouse architectures, and governance while collaborating with AI/ML and security teams to ensure reliability, compliance, and scalable data products.