Senior Data Platform Engineer, AWS

🔥 12 hours ago

🌐 Colombia, Costa Rica – Remote

🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Gorilla Logic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.

📋 Description

• Own the data behind a campaign-management platform managing paid search and paid social campaigns across Google Ads and Meta accounts for automotive dealerships • Build the Salesforce budget sync, including budget line items and enrollments, strict separation of budget families, and blocking campaigns without matching line items • Build the dealer crosswalk linking dealers to Google Ads, Meta, Salesforce and inventory-feed records, with exception reporting and automatic onboarding • Ingest daily VIN-level inventory from Snowflake, offers from S3 and an offers API, and manufacturer enrollment files with freshness and completeness checks • Agree data contracts with the client's data team and use shared platform-pod contracts where applicable • Build pacing detection using current-day ad-platform spend and month-end projections • Build the Incentive Sync engine, validating offers against manufacturer rules and removing expired offers exactly once • Model manufacturer rules, allowed values and model lineups as versioned, effective-dated data • Supply dealer and inventory data to the playbook renderer and inventory-driven campaign selection • Build migration-wave orchestration and an evidence pipeline with aggregates, ID checks, settings diffs, tracking audits and zero-spend checks • Produce pilot-wave data in month five and scorecards for client sign-off • Run the data side of five production waves, including budget binding, settings carryover, tracking audits and pacing calibration • Run production operations during migration, including observability, incident response, API quota monitoring and rollback drills • Hand pipelines, runbooks, environments and data contracts to the client's teams and confirm the handover by having them run it • Write decision records, runbooks and documentation, and pair with client engineers • Lead data working sessions with the client's data team and Salesforce administrators • Make reversible data design decisions when the Solutions Architect is unavailable, document them and bring them for review • Prepare the data side of wave sign-off packs and act as first responder for migration data issues • Raise blockers early and in writing with schedule, scope or quality impact assessments

🎯 Requirements

• Six or more years building and operating production data or integration systems • Production Salesforce integration: custom objects, SOQL, bulk reads and change detection • Snowflake extracts, S3 file feeds, REST APIs and a pipeline orchestrator on AWS • Data quality and identity resolution: freshness checks, reconciliation between systems, actionable exception reports, and blocking work when a match is ambiguous • Spend or financial calculations backed by scenario-based automated tests • Bulk operations that hold on partial failure and run idempotently • Production operations on AWS: incidents handled, monitoring, quotas, runbooks and infrastructure as code • Strong Azure experience acceptable with a demonstrated method for moving to AWS • Solid SQL, production Python or PHP, and secure handling of production credentials • Daily use of AI coding tools with real review discipline: testing and rejecting generated code, and understanding where these tools fail • Clear written and spoken English • Comfort presenting work to US client stakeholders • Preferred: Google Ads or Meta Marketing API reporting, including provisional spend and rate limits • Preferred: Merchant Center or Meta catalogs, or vehicle listing and automotive inventory ads • Preferred: PHP and Laravel • Preferred: Automotive retail data: VIN-level inventory, manufacturer incentive programs and dealer data • Preferred: Ad operations, live migrations with a tested rollback plan, rules engines, or containers on AWS

🏖️ Benefits

• Complete Gorilla Logic's internal AI engineering training before starting on the client's environment • Approved AI delivery tooling under the client's least-privilege credentials • Review every AI-generated artifact before it enters the codebase or a deliverable • Client code or data never used to train a model