Data Engineer Lead

New

Skills

Agile Methodologies AI and Machine Learning AI Tooling Cloud Data Platforms (AWS, GCP, Azure) Data Architecture Data Engineering Best Practices Data Governance Data Modeling Orchestration Tools Programming Languages (Python, SQL)

We are seeking a Staff Data Engineer to lead the design and implementation of an AI-ready data architecture that powers innovative customer features. This role requires a strategic thinker who can shape data architecture best practices across the organization and enable rapid experimentation.

Key Responsibilities
  • Define the architecture of an AI-ready data platform, focusing on modeling, orchestration, and governance.
  • Partner with Product teams to design AI-powered features that enhance customer experience.
  • Mentor engineers and elevate the standard for data platform design across multiple teams.
  • Balance short-term experimentation with long-term platform maintainability.
  • Influence cross-functional stakeholders and establish technical direction beyond a single team.
  • Translate ambiguous customer problems into robust data and AI capabilities.
  • Utilize AI tooling to accelerate engineering efforts.
Required Skills & Qualifications
  • Proven experience in architecting and implementing data systems for AI at scale.
  • Strong understanding of data architecture best practices.
  • Experience with data governance and orchestration.
  • Familiarity with AI and machine learning technologies.
  • Excellent mentoring and leadership skills.
  • Ability to effectively communicate and influence stakeholders.
  • Experience with agile methodologies and rapid prototyping.
  • Knowledge of data modeling techniques.
  • Proficiency in programming languages relevant to data engineering.
  • Strong problem-solving skills and analytical thinking.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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