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Senior Data Platform Engineer, AWS
Gorilla LogicCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating production data systems, with a strong focus on Salesforce integration, data quality, and AWS operations. Proficient in managing complex data workflows and ensuring data integrity across multiple platforms.
Highest-signal resume keywords
Salesforce IntegrationProduction Data SystemsAWS OperationsData Quality ManagementSQL Proficiency
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production Salesforce IntegrationSnowflake ExtractsREST APIsSQLPythonPHPData Quality ChecksFinancial CalculationsBulk OperationsAI Coding Tools
Soft Skills
Clear CommunicationPresentation SkillsProblem-Solving
Tools & Technologies
AWSS3SalesforceGoogle AdsMeta Marketing APILaravelMerchant Center
Industry Keywords
Automotive Retail DataVIN-Level InventoryManufacturer Incentive ProgramsAd OperationsLive Migrations