Senior Data Services Engineer, Strategic Projects

About GrowthLoop

GrowthLoop is a pioneer in AI-powered marketing on the data cloud, featured on G2 by its customers as a momentum leader with the best ROI for enterprise. Founded and led by former Google executives, GrowthLoop helps innovative companies transform how they market and drive business impact.

The GrowthLoop Compound Marketing Engine drives compound growth by accelerating the marketing cycle, using Agentic AI powered by your enterprise cloud data. Growth Agents propose audiences and journeys, and activate campaigns across channels, streamlining execution and continuously analyzing performance data to make suggestions for campaign optimization.  

Thousands of marketers at enterprises like Google, Costco, and Albertsons rely on GrowthLoop to grow faster with agentic AI, drive measurable campaign results, and maximize marketing ROI—compounding growth with every experiment, iteration, and campaign.

How We Work 

• Love Our Customer - We win when our customer wins.
• Make It So - We turn decisions into outcomes.
• Put We Over Me - We succeed together—or not at all.
• Be Human - Goodness and kindness compounds.
• Aim High - We’re here for the long game—act like it.

The Opportunity

In this role, you will serve as the primary technical lead embedded with a single enterprise client, owning their data transformation journey end-to-end. You'll drive the strategic direction of the engagement — from scoping and solution design through delivery and adoption — while building a trusted partnership at both the technical and executive level. This is a high-visibility role at the center of a critical, strategic initiative.

You bring deep expertise in data architecture and a track record of leading complex engagements from ambiguity to impact. You're as comfortable whiteboarding a scalable data model as you are aligning stakeholders on priorities, managing competing timelines, and guiding junior team members. You know that durable solutions require not just clean design, but the processes and relationships that make them stick.

If you're energized by owning outcomes, influencing strategy, and being the person clients rely on to get it done — this role is for you.

What You’ll Do

• Lead the ingestion of large volumes of data into cloud data warehouses, with a focus on performance, reliability, and scale
• Serve as the primary technical point of contact for a single enterprise client, building a deep understanding of their business needs, data landscape, and priorities
• Design and build scalable data models that support the client's analytical and operational goals, from initial design through delivery
• Drive end-to-end project execution, coordinating across workstreams and keeping stakeholders aligned on progress and decisions
• Identify and implement improvements to internal workflows and tooling that increase efficiency and repeatability across the engagement

What We Look For

Core Requirements 

• 4–7 years of experience as a Data Engineer or Analytics Engineer, with strong proficiency in SQL and Python
• Proven experience designing, building, and maintaining cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
• Hands-on experience with Google Cloud Platform (GCP), including core services such as BigQuery; GCP Professional Data Engineer certification strongly preferred
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