Lead Data Engineer - Monetization Analytics
$230k CAD
Remote (US Pacific hours overlap required)
Morpheus are partnered with a leading Gen AI data vendor working with some of the biggest tech firms in the world, who are hiring a Staff / Lead Data Analyst to embed within their Monetization Data Science & Analytics team.
This is a senior individual contributor role, not an execution seat. You'll be the go-to analytics expert for advertiser revenue, monetization performance, and growth metrics, trusted by Data Scientists, Analysts, PMs, and Engineering leaders to drive high-impact work end to end.
What you'll be doing:
- Acting as senior analytics IC for the Monetization Analytics pod, taking on the hardest, most ambiguous data problems
- Leading end-to-end analytics initiatives spanning data modeling, pipeline work, and dashboard delivery, with minimal supervision
- Setting metric definitions and standards for advertiser revenue, monetization performance, and experiment readouts
- Architecting and owning production SQL pipelines (Presto / Trino / Hive / Spark SQL), including incremental vs. full refresh, pre-aggregation, and cost/performance tradeoffs
- Authoring and operating Airflow DAGs for critical revenue pipelines, including SLAs, backfills, and incident response
- Owning executive-visibility dashboards in Tableau / Superset and driving metric governance across the org
- Coaching and raising the bar for other analysts and analytics engineers
What you'll bring:
- 9+ years combined experience in Data Analytics, BI, or Analytics Engineering, with 3+ years at Senior level or above
- Expert-level SQL, with deep proficiency in window functions, CTEs, query optimization, and cost tuning on billion+ row tables
- Hands-on depth with at least two of: Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, Redshift
- Advanced Airflow experience, having architected and operated large DAG ecosystems (50+ production DAGs)
- Strong data modeling background: Kimball, star schema, dimensional modeling, OLAP cubes, semantic layer design
- Production experience building executive-grade dashboards in Tableau and/or Superset
- Deep exposure to digital advertising or monetization metrics (CTR, CPM, CPC, CVR, ROAS, revenue attribution) is strongly preferred
- Native or near-native English, spoken and written
- A track record of leading initiatives end to end with minimal direction, and comfort pushing back on unclear requirements
Nice to have:
- Prior experience as a Staff / Principal Analytics Engineer, Analytics Tech Lead, or lead data engineer at a top-tier tech company
- Experience with A/B testing platforms and complex experimentation analysis
- Solid statistics foundation to challenge a Data Scientist's methodology
- Experience with data catalogs or metric layer platforms (Amundsen, DataHub, Atlan, Cube, Transform)
- Tableau certification or equivalent