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Allied Global Marketing · 3 hours ago

Data Engineering Manager

United States

Full-time

Remote

Senior Level

$130K/yr - $140K/yr

5+ years exp

Allied Global Marketing is a leading full-service entertainment, culture, and lifestyle-marketing agency. They are seeking a hands-on Data Engineering Manager to architect, build, and optimize systems that power marketing analytics and AI-driven insights, ensuring campaigns are measured and optimized with statistical rigor.

Advertising

Growth Opportunities

No H1B

Responsibilities

Lead integrations between media platforms, CRM systems, and sales databases to connect marketing performance with true business outcomes

Be hands-on in writing and optimizing SQL for dashboards, campaign reporting, and data model development

Build and maintain ETL/ELT pipelines across marketing data sources (Meta, Google Ads, TikTok, LinkedIn, etc.) using dbt or similar frameworks

Collaborate on the design of Allied’s centralized marketing data warehouse (e.g., Snowflake, BigQuery, Redshift), ensuring scalability and automation

Troubleshoot data flow and dashboard issues directly

Manage data vendors, employees, and/or contractors, ensuring alignment with Allied’s technical standards, data governance, and delivery timelines

Vet and evaluate external technology vendors, including data connectors, attribution tools, and analytics platforms, ensuring performance, compliance, and value alignment

Maintain and evolve privacy-compliant data frameworks using tools like OneTrust, ensuring GDPR, CCPA, and iOS ATT adherence

Diagnose and resolve consent or data loss issues impacting attribution and conversion tracking

Implement and maintain digital marketing tracking systems including GA4, GTM, pixels, server-side tracking, and event-based analytics

Configure and optimize server-side and enhanced conversions to improve attribution precision in privacy-constrained environments

Manage and integrate mobile measurement partners (Appsflyer, Branch) for app-to-web attribution and cross-platform user journey tracking

Build scalable onboarding and QA processes for new client tracking implementations, ensuring data consistency and faster activation across accounts

Lead the design and implementation of attribution frameworks, including multi-touch, cross-channel, and incrementality models, ensuring data accuracy across all marketing platforms

Own the end-to-end data architecture for campaign performance tracking and conversion modeling, from raw ingestion to clean, analytics-ready datasets

Partner with analytics and paid media teams to evolve attribution logic based on evolving privacy standards, walled garden limitations, and first-party data strategies

Translate marketing requirements into scalable technical solutions that support both internal reporting and client-facing analytics

Stay ahead of trends in data modeling, marketing measurement, and AI analytics, driving continuous improvement in Allied’s data infrastructure

Educate and upskill media and analytics teams on interpreting advanced tracking data, attribution logic, and optimization best practices

Qualification

Data EngineeringSQLETL/ELT PipelinesAttribution ModelsData Warehouse PlatformsMarketing Data IntegrationDigital Marketing EcosystemsCommunication SkillsProblem-SolvingCollaboration

Required

5–7 years of hands-on experience implementing and managing marketing and analytics tracking systems

5+ years of data engineering or analytics engineering experience, including SQL-based modeling, ETL/ELT pipeline development, and dbt or equivalent frameworks

Demonstrated experience implementing multi-touch attribution models, data-driven attribution (DDA), or media mix modeling

Deep understanding of digital marketing ecosystems, including campaign data structures and platform APIs

Proficiency in SQL and familiarity with several data warehouse platforms (Snowflake, BigQuery, Redshift)

Strong fluency with web and CRM platforms such as WordPress, Shopify, and HubSpot

Knowledge of privacy frameworks and experience managing compliance tools

Proven ability to build and troubleshoot data pipelines independently and communicate solutions clearly to both technical and non-technical stakeholders

Based on the U.S. East Coast and comfortable collaborating across multiple time zones