BI Lead - FT - Data Analytics Engineer, MTA Solutions

7+ years in data engineering, analytics, or BI roles Strong experience designing and implementing data lakes or warehouses from scratch Expertise with SQL and modern data warehouse/lakehouse technologies (Snowflake, BigQuery, Redshift, Delta Lake, etc.) Strong Python engineering skills, or proven willingness to quickly ramp into Python async patterns, FastAPI, and Celery-based architectures Experience with ETL/ELT frameworks, pipeline orchestration, and API-based ingestion Familiarity with attribution, experimentation, or marketing analytics concepts Excellent communicator with ability to bridge technical and business teams

Architect & Build a Data Lake Design and implement the company’s first centralized data lake Define ingestion patterns for streaming and batch pipelines MTA & Attribution Models Build pipelines that support advanced multi-touch attribution models Deliver accurate, timely, and explainable attribution outputs Data Engineering & Pipelines Own ETL/ELT frameworks using Python, SQL, and orchestration tools Deploy workflows in a FastAPI + Celery async task environment BI & Analytics Enablement Define schemas and data models that feed dashboards, experimentation, and decision-making Enable self-service analytics for marketing, product, and finance teams Governance & Standards Define data contracts, quality checks, documentation, and access control Scale & Optimize Continuously improve cost efficiency, performance, and observability of the data stack