Marketing Data Strategist

Job Description

About this Role:

We're looking for a Data Engineer to join our team as a Marketing Platform Specialist. This role is for someone who will dedicate themselves to extracting every possible byte of data from marketing platforms - the kind of person who gets excited about discovering hidden API endpoints and undocumented features.

The Mission:

Our singular focus: extract every drop of value from the world's most powerful marketing platforms. Where others use 10% of a tool's capabilities, you'll uncover the hidden 90% — from granular auction insights to ephemeral algorithm data. You'll build the intelligence layer that enables others to scale smarter, faster, and with precision.

What You'll Do:

• Reverse-engineer APIs across Meta, Google, TikTok, and others to extract hidden attribution data, auction signals, and algorithmic behavior.
• Exploit beta features and undocumented endpoints to unlock advanced data streams.
• Capture ephemeral data before it disappears — attribution snapshots, pacing drift, algorithm shifts.
• Build real-time monitoring datasets to detect anomalies, pacing issues, and creative decay.
• Scrape competitor websites and dissect tracking logic to reveal platform strategies.

Business Scaling & Optimization Datasets

• Build granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metrics.
• Develop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicators.
• Create auction intelligence datasets with hour/geo/placement granularity, bid behaviors, and overlap tracking.
• Design optimization datasets for portfolio performance, campaign cannibalization, and creative lifecycle decay.
• Extract machine learning signals from Meta Advantage+, Smart Bidding configs, and TikTok optimization logs.
• Build competitive intelligence datasets with SOV trends, auction pressure, and creative benchmarks.

Advanced Feature & AI Data Engineering

• Extract structured data from advanced features like predictive analytics, customer match, and A/B testing tools.
• Build multimodal datasets (ad copy, landing pages, video) ready for machine learning workflows.
• Enrich historical marketing data using automated pipelines and AI-powered data cleaning.

Unified Customer & Attribution Data

• Build comprehensive GA4 datasets using precise tagging logic and event architecture.
• Unify data from Firebase, Klaviyo, Tealium, and offline sources into full-funnel CDP datasets.
• Engineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matching.
• Map cross-device customer journeys with detailed attribution paths and timestamp precision.

Snowflake Architecture & Analytics Enablement

• Design and maintain scalable, semantic-layered Snowflake datasets with historical tracking and versioning.
• Use S3 and data lakes to manage large-scale, unstructured data across channels.
• Implement architectures suited for exploration, BI, real-time streaming, and ML modeling — including star schema, medallion, and Data Vault patterns.
• Build dashboards and tools that reveal inefficiencies, scaling triggers, and creative performance decay.

Skills & Qualifications Required

• 3+ years as a Data Engineer with deep experience in MarTech or growth/performance marketing.
• Advanced Python for API extraction, automation, and orchestration.
• JavaScript proficiency for tracking and GTM customization.
• Expert-level experience with GA4 implementation and data handling.
• Hands-on experience with Snowflake, including performance tuning and scaling.
• Comfortable working with S3 and data lakes for semi/unstructured data.
• Strong SQL and understanding of scalable data models.

Bonus Points if You Have

• Experience with dbt for transformation and modeling.
• CI/CD pipelines using GitHub Actions or similar.
• Knowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readiness.
• Familiarity with GPU computing for high-performance data workflows.
• Data app development using R Shiny or Streamlit.

You'll Excel Here If You Are:

• Relentlessly curious: You don't wait for someone to show you the API docs; you find the endpoints yourself.
• Detail-obsessed: You notice the subtle changes, the disappearing fields, the data drift others overlook.
• Self-directed: You don't need micromanagement. Just give you the mission, and you'll reverse-engineer the map.
• Comfortable with ambiguity: You can navigate undocumented features, partial datasets, and platform quirks without panic.
• Great communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers, and fellow engineers to move forward.
• Product-minded: You think in terms of impact, not just pipelines. Every dataset you build is a stepping stone to better strategy, smarter automation, or faster growth.

Why Conqueror:

• Shape the data infrastructure powering real business growth.
• Join a purpose-driven, fast-moving team.
• Work with fast-scaling e-commerce brands.
• Personal development budget to continuously sharpen your skills.
• Work remotely from anywhere.

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