Senior Data Engineer (Databricks + GCP) – Marketing Analytics

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

A technology-led marketing organization focused on building advanced analytics, measurement, and modeling solutions for global brands. The company specializes in modern data platforms, clean rooms, and identity resolution at scale.

Job Summary

We’re seeking a senior, self-driven Data Engineer who can lead the design and implementation of clean room and identity graph solutions. This role requires someone comfortable meeting with senior leaders, articulating technical work clearly, estimating project scope, and owning complex data engineering initiatives end to end. You will operate across Snowflake, BigQuery, and AWS/GCP environments to build scalable, efficient data systems powering consumer identity and analytics use cases.

Responsibilities

• Lead the design and implementation of scalable data pipelines using Databricks and GCP (BigQuery, Cloud Storage, Cloud Composer, etc.).
• Build and optimize data transformations, ingestion layers, and processing workflows to support clean room and identity graph workloads.
• Develop identity graph structures, identity stitching processes, and privacy-preserving data integrations.
• Partner with product managers, data scientists, and senior technical leaders to understand data requirements and deliver robust engineering solutions.
• Present technical designs, project plans, and effort estimates to senior leadership with clarity and confidence.
• Ensure pipeline reliability, cost optimization, and performance tuning across GCP and D