Data Engineering Lead — AI-Driven Platform Architect (Remote)

Walt; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote work with global hubs (Dubai, Y

Compensation for medical expenses

Equipment provided

Access to advanced AI models via mira

Job summary

Walt is seeking a senior Data Engineering leader to build and scale the data platform across DWH, ingestion, streaming, and serving layers. You will apply AI/LLMs to automate pipeline development and improve data quality and schema management.

In this role you will own the pipelines powering attribution, segmentation, and campaign optimization while ensuring reliability, governance, and cross-functional partnership across Analytics, ML, Product, Finance, and Marketing.

Qualifications

• Proven leadership of cross-functional teams (engineers + analysts).
• Deep data management and robust DWH architectures.
• Strong understanding of marketing technology and analytics automation.
• Interest in applying AI/LLMs to analytical/operational workflows.
• Experience in Crypto/FinTech domains is a plus.

Responsibilities

• Build, lead, and scale the Data Engineering team including hiring and performance.
• Define and execute the long-term data platform strategy across DWH, ingestion, streaming, and serving.
• Apply AI/LLMs to automate pipeline development and schema management.
• Own pipelines powering attribution, segmentation, and campaign optimization.
• Develop real-time, low-latency infrastructure for trading, payments, and risk workloads.
• Set data quality, lineage, observability, SLAs, and governance standards.
• Partner with Analytics, ML, Product, Finance, and Marketing as trusted stakeholder.

Skills

Leadership

Data platform design

ClickHouse

dbt

AI/LLMs

Cross-functional collaboration

Marketing tech basics

Tools

ClickHouse

dbt

Job description

Walt is seeking a senior Data Engineering leader to build and scale the data platform across DWH, ingestion, streaming, and serving layers. You will apply AI/LLMs to automate pipeline development and improve data quality and schema management.

In this role you will own the pipelines powering attribution, segmentation, and campaign optimization while ensuring reliability, governance, and cross-functional partnership across Analytics, ML, Product, Finance, and Marketing.