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Data Infrastructure Architect
2 weeks ago
Rippling is a unified workforce platform that enables businesses to manage their HR & IT, payroll, benefits, computers, apps, and more from one place. By connecting every business system to one source of truth for employee data, Rippling automates the manual work involved in making employee changes.
About The RoleWe are looking for an experienced data engineer to join our engineering team in Revenue Operations. As a senior member of the team, you will lead the design and development of data pipelines and services to enable data-driven decision-making and power BI, ML, experimentation, and user-facing features.
You will work closely with stakeholders across various orgs, such as Data Science, Marketing, Bizops, Revops, Finance, and adjacent data teams to drive projects forward while supporting the professional development of junior team members.
Key Responsibilities- Achieve architecting, building, and scaling data pipelines for ingesting data from internal databases and systems, and third-party tools into our warehouse.
- Build out marketing and revenue operations data platforms and tooling.
- Support analytics, data science, machine learning, and business operations functions.
- Maintain pipelines and infrastructure to uphold internal SLAs.
We require:
- 5+ years of experience in data and software engineering.
- Expertise in writing complex data transforms in SQL and Python.
- Knowledge of data warehousing concepts around building custom ETL integrations and building data infrastructure (SCD, CDC, Snapshots, indexing, partitioning).
- Experience in analytics, dimensional modeling, and ETL optimization preferred.
- BS/BA in a technical field such as Computer Science or Mathematics preferred.
Rippling highly values in-office collaboration. Employees living within 30 miles of an office are expected to work onsite three days a week with those living 30-49.9 miles away expected to be in the office one day a week. Employees living over 50 miles away are required to relocate within 30 miles of an office.