Role Overview
The Signal Intelligence team turns a high-volume, multi-source data ecosystem into trusted data models, metrics, and dashboards that drive business, product, and ad-ops decisions. The Senior Data Engineer will own data end-to-end, modeling raw events into conformed, analytics-ready marts, writing analytical SQL, and defining metrics leadership relies on.
What You Will Do
As a Senior Data Engineer, you will be the team’s data sherpa, guiding analysts and business partners through the data terrain, turning ambiguous business questions into trusted, well-modeled answers, and owning the map – definitions, lineage, and the ‘why’ behind the numbers.
Why It Might Be a Fit
You will succeed in this role if you think in models and metrics, not just pipelines, and are as comfortable in a SQL console or a dashboard as in a DAG, moving fluidly between business context and technical root cause.
Requirements
- Expert SQL, including analytical SQL craft (window functions, complex joins, cohort / funnel / sessionization logic) and performance tuning on large event-scale datasets.
- Deep data-modeling expertise – dimensional modeling, star/snowflake schemas, slowly changing dimensions, conformed dimensions, grain, and data-mart design.
- Strong data analysis and business translation – able to independently investigate data, define metrics and KPIs, and act as a trusted guide who turns ambiguous business questions into clear answers and enables others to self-serve.
- dbt (or an equivalent transformation / modeling framework).
- Cloud warehouse – BigQuery strongly preferred (our environment); Snowflake or Databricks acceptable with a fast ramp.
- Python for data processing and pipeline development.
- Orchestration experience (Airflow).
- High-volume event data – clickstream, telemetry, ad impressions, or similar – including deduplication, late-arriving data, sessionization, and schema evolution.
- BI tools (DOMO, Looker, Mode) – comfort both consuming and supporting their development.
- Experience debugging data-quality issues across the full stack – from BI tool to warehouse to raw event logs.
- BA/BS in Computer Science, Math, Physics, Engineering, Economics, Statistics, or a related quantitative field.
- Strong analytical, logical, and communication skills.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO
To apply for this job please visit career41.sapsf.com.
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