Google Ads Media Buyer / Growth Strategist (Remote)
Cordoba Sweat Pants Agency
Hoy
Everyone can run a search campaign.
Almost nobody can tell you whether it worked.
That is the whole job.
Google will happily show you a 6x ROAS built almost entirely out of peoplss patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.About the RoleWe're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.This is not a traditional backend or internal data engineering position.You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time-to-production.What You'll Be DoingDesign, develop, and maintain production-grade data collectors, connectors, and ingestion services .
Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems .
Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources .




Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.Optimize ingestion performance, reliability, scalability, and operational efficiency.Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.Contribute technical insights from real-world implementations to the product roadmap.Support production adoption and continuously improve time-to-value for enterprise customers.Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.What You Bring10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.Strong software development experience with:PythonGoStrong experience designing and consuming REST APIs .
Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems .
Experience integrating complex enterprise systems and third-party platforms.Solid understanding of both SQL and NoSQL databases .




Production experience with at least one major cloud platform:AWSAzureGCPExperience working with Docker and Kubernetes .
Strong understanding of Git-based development workflows and CI/CD practices .
Experience designing reliable, scalable, and production-ready distributed systems.Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.Embers do not reconcile, you are the one who finds out why.
Diagnose the bottleneck, then go fix it.
Creative, offer, AOV, landing page, checkout, tracking.
Nobody is going to reassign it to another team.
Build the things the account needs.
Landing pages, scripts, reporting, whatever removes the constraint.
We are heavy AI users and we expect you to build, not just prompt.
You are a fit if
You have done this with real money.
Hands on Google Ads at meaningful spend on DTC and eCommerce, with results you can walk us through: CPA, ROAS, revenue, and what you actually changed to get them.
Shopping and PMax specifically, not just search.
You are fluent in the whole stack , not one campaign type.
Search, Shopping, PMax, Demand Gen, YouTube, Merchant Center, GA4, GTM.
Bing is a nice to have.
You are AI native, and you build.
This is a requirement, not a bonus.
You should already be using Claude or equivalent as a working tool rather than a novelty, and you should be able to build and ship a landing page with it.
You can communicate your ideas in English at a native or near native level.
You will be in front of clients constantly.
You need to explain your thinking clearly, sell an idea on its merits, push back when a client is about to force the account into mediocrity, and raise a problem before it becomes a fire.
This matters as much as anything else on this list.
You are skeptical of your own numbers.
You would rather run the holdout than protect the dashboard.
You can work US Eastern business hours for client calls.
Where you live is up to you.
Bonus: you have built or operated your own Shopify store, or you have run Meta at spend too
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📌 Remote Google Ads Growth Architect (Buenos Aires)
🏢 Sweat Pants Agency
📍 Buenos Aires