Senior Data Platform Engineer — Remote & Cloud

Software Directory; United States; Remote; USD 170,000 - 200,000; Full time

Benefits offered by this job

Remote first

Health, Dental, Vision Insurance

401K with match

Holidays & PTO

Internal Advancement Opportunities

Job summary

PerfectServe is investing in a unified data platform spanning our product portfolio. The senior engineering seat will shape the detailed architecture, own implementation and integration design, and set engineering standards while building it with a dedicated team.

You will mentor data engineers, partner with the platform and operations teams, and work directly with data consumers to ensure builds answer real questions.

Qualifications

• Substantial experience building and operating cloud data platforms.
• Ability to make decisions with incomplete information.
• Deep SQL and strong command of a cloud data warehouse.
• Experience with dbt and transformation workflows.

Responsibilities

• Own the implementation design across the platform — ingestion, modeling, and the surfaces people consume.
• Shape the detailed architecture from the high-level direction, working with our architecture team.
• Own integration design across production source systems.
• Build ingestion pipelines from those systems.
• Model raw data into business-ready datasets, with one agreed definition per metric.
• Set the engineering standards the team works to, including data quality and testing.
• Partner with our platform and operations teams on safe, low-impact extraction from production databases.
• Work directly with the people who need the data, so what gets built answers real questions.
• Mentor data engineers and help shape their work.

Skills

Cloud data platforms

SQL proficiency

Data warehousing

dbt transformation

ELT/CDC

AWS

Data modeling

Airflow

Data quality testing

Tools

Snowflake

BigQuery

Databricks

Job description

PerfectServe is investing in a unified data platform spanning our product portfolio. The senior engineering seat will shape the detailed architecture, own implementation and integration design, and set engineering standards while building it with a dedicated team.

You will mentor data engineers, partner with the platform and operations teams, and work directly with data consumers to ensure builds answer real questions.