Staff Data Engineer Platform & Data
GreyOrange · Bengaluru
- Experience5–9 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted29 Sept 2026
About GreyOrange
GreyOrange is hiring in Bengaluru in technology software. This role looks for around 5+ years of experience.
Skills
- SQL
- dbt
- Airflow
- Fivetran
- data modeling
- multi-tenant data isolation
The role
A data engineer at a software product company builds SQL pipelines and warehouse automation for multi-tenant analytics, then establishes data modeling and usage-based billing metrics. The role also applies dbt and Airflow to strengthen customer-success reporting and pipeline quality.
Full job description
Own the data infrastructure that turns Foundry's operational data scenarios, runs, BOMs, customer usage into something Post-Sales, Customer Success, and leadership can actually query and trust.
What You'll Do
Design and build the data pipeline that moves operational data out of Foundry's tenant-scoped Postgres schemas into an analytics-friendly warehouse, respecting tenant isolation throughout.Build the metrics and reporting layer Post-Sales and Customer Success teams use to track customer health, usage, and adoption.Own data quality: schema-drift detection, pipeline monitoring, and making sure a broken upstream change doesn't silently corrupt downstream reports.Partner with Foundry Core on billing and metering data usage-based metrics need to be accurate enough to bill against.Establish data modeling conventions for a still-young data platform.
What We're Looking For
5+ years of data engineering experience, including building ELT/ETL pipelines from an operational database into a warehouse.Strong SQL and experience with a modern data stack (dbt, Airflow, Fivetran, or equivalent exact tools flexible).Experience with multi-tenant data isolation requirements this pipeline must never leak one customer's data into another's reporting.Comfort partnering directly with business stakeholders to define what "the right metric" actually means.
Nice to Have
Experience building usage-based billing or metering data pipelines specifically.Familiarity with warehouse automation or B2B SaaS customer-success metrics. .