Azure Databricks Data Engineering Lead - Real-Time Pipelines

5 Star Global Recruitment Partners

United States

Remote

USD 150,000 - 180,000

Full time

14 days+

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Job summary

Starbucks is seeking a senior data engineer to drive the WFM Data Services platform, bringing 7+ years in Databricks, Azure, PySpark and Python. You will lead cross-functional teams, shape the technical roadmap, and deliver automated, observable data pipelines and dashboards for business insights.

You will collaborate with executives and product teams to translate strategic needs into scalable technical solutions and deliver reliable data infrastructure at scale.

Qualifications

7+ years of experience in Databricks, Microsoft Azure, PySpark and Python.
Experience leading large-scale, cross-functional projects to build the technical roadmap for data platforms.
Ability to review and critique design artifacts and drive technical decisions.
Experience building automation and monitoring frameworks with KPI visibility.

Responsibilities

Lead large-scale, cross-functional projects to define the technical roadmap for the WFM Data Services platform.
Lead and review design artifacts to ensure quality and alignment with business needs.
Build and own automation and monitoring frameworks for reliable data pipelines and KPIs.
Execute PoC on new technologies to select best-fit tools and solutions.
Collaborate with business partners to identify opportunities and drive resolution.
Communicate status to senior leadership and stakeholders.

Skills

Databricks

Microsoft Azure

PySpark

Python

Job description

You will collaborate with executives and product teams to translate strategic needs into scalable technical solutions and deliver reliable data infrastructure at scale.

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