Staff Data Platform Engineer — Architecture & Governance

Jobtailor; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a senior data engineering leader to shape the data platform across Databricks, streaming, governance, and data products. You will set standards, drive cross-team alignment, and influence roadmaps while mentoring senior engineers and navigating complex multi-squad initiatives.

This role requires 9+ years in data engineering, strong Python/dbt skills, and experience with IaC, Kafka, Flink, and Debezium. Expect collaboration with product and analytics on strategic initiatives.

Qualifications

• 9+ years of experience as a data engineer in a modern, production-grade cloud data platform.
• Exposure across IaC infrastructure, CDC streaming, Databricks operations, data governance, and pipelines.
• Track record of cross-team impact and stakeholder alignment.
• Strong Python and dbt skills.
• Ability to frame ambiguous technical problems and drive them to resolution with minimal guidance.
• Knowledge of GDPR, CCPA, SOC2, and FedRAMP is a plus.

Responsibilities

• Shape the technical direction and architecture of the data platform across multiple domains.
• Identify and resolve cross-cutting technical challenges across data engineering teams and projects.
• Define and evolve platform-wide standards, patterns, and abstractions.
• Influence roadmaps by framing trade-offs and aligning engineering, product, and analytics.
• Drive adoption of changes across teams beyond delivery.
• Mentor senior engineers through complex problems and decisions.
• Lead multi-squad initiatives with ambiguity and minimal direction.

Skills

Python

dbt

Cross-Team Collaboration

Architectural Judgment

Technical Leadership

Tools

Databricks

Terraform

Kafka

Flink

Debezium

Job description

Jobtailor is seeking a senior data engineering leader to shape the data platform across Databricks, streaming, governance, and data products. You will set standards, drive cross-team alignment, and influence roadmaps while mentoring senior engineers and navigating complex multi-squad initiatives.

This role requires 9+ years in data engineering, strong Python/dbt skills, and experience with IaC, Kafka, Flink, and Debezium. Expect collaboration with product and analytics on strategic initiatives.