{"id":2110753,"url":"https://alion.io/job/courtavenue-martech-solutions-engineer","title":"MarTech Solutions Engineer","company":{"id":673384,"name":"CourtAvenue","domain":"courtavenue.com","url":"https://alion.io/company/courtavenue","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":90000,"max":110000,"currency":"USD","period":"year","gross":null,"usd_annual":110000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Braze","optional":false},{"name":"JavaScript","optional":false},{"name":"Postman","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true},{"name":"BigQuery","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Python","optional":true},{"name":"Salesforce Data Cloud","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-08T19:21:27Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-21T02:51:01Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"The MarTech Solutions Engineer is a hands-on implementation role across GTX client engagements. This role configures and integrates customer data platforms, marketing automation and activation tools, builds and validates data flows, and turns solution designs into working, documented implementations.\nResponsibilities\nConfigure and implement customer data platforms such as Salesforce Data 360, Tealium, Segment or Adobe Experience Platform, including data streams, attributes, identity, segments and activations.\nBuild and maintain integrations with engagement platforms such as Salesforce Marketing Cloud, Braze, Adobe Journey Optimizer and Emarsys, as well as ad platforms and analytics tools.\nDevelop and validate data flows, including event collection, ingestion, attribute enrichment, audience triggers and activation.\nDesign and document data layer specifications and tagging plans for web and app.\nImplement and maintain tags, JavaScript extensions, load rules and data layer mappings in Tealium iQ, Google Tag Manager and similar tag management systems.\nImplement server-side and event-stream data collection, including Tealium EventStream, server-side Google Tag Manager and conversion APIs.\nQA and validate tagging and data collection using browser developer tools, tag debuggers and network inspection.\nBuild and test API integrations between data collection, CDP and activation platforms.\nTranslate solution designs into implementation plans, tickets and configuration specifications.\nTest and QA configurations, data flows and audiences, and troubleshoot issues across the marketing technology stack.\nDocument platform configurations, data mappings and implementation decisions.\nBuild reusable patterns, scripts and accelerators that can be applied across clients.\nCollaborate with architects, strategists and client technical teams to align implementations with business goals.\nRequirements\n4+ years of hands-on experience with customer data platforms, marketing automation or MarTech integration.\nExperience configuring at least one enterprise CDP and one engagement or marketing automation platform.\nStrong JavaScript skills, essential for tag management configuration, extensions and data layer work.\nHands-on experience implementing and debugging tag management systems and data layers.\nExperience working with REST APIs, authentication, webhooks and JSON payloads, using tools such as Postman.\nWorking knowledge of SQL.\nStrong troubleshooting skills across data flows, integrations and audience behavior.\nClear documentation, communication and collaboration skills.\nPreferred Qualifications\nSalesforce Data Cloud or Marketing Cloud certifications, or equivalent Tealium or Adobe certifications.\nExperience with Python for data processing or automation.\nExperience integrating consent management platforms, such as OneTrust, with tagging and data collection.\nExperience implementing mobile SDKs for analytics and data collection.\nExperience with cloud data warehouses such as Snowflake or BigQuery.\nBackground in MarTech consulting or agency delivery.\nAutomotive, OEM or dealer-network experience.\nWork Environment\nThis role supports multiple GTX client engagements across industries and technology platforms.\nThe role requires close coordination with client marketing, technology and data teams; 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