Data Engineer & Platform Delivery Lead

EY

San Antonio (TX)

Hybrid

USD 126,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Medical & dental coverage
401(k) plan
Paid time off
Hybrid work model

Job summary

EY is seeking a senior data/AI product & platform leader to guide multi-disciplinary teams in delivering intelligent data platforms for challenging client engagements. You will interact with clients daily, shape solution delivery, and manage budgets while driving high-impact outcomes across cross-functional teams.

The role emphasizes hands-on data engineering, cloud architectures, and robust collaboration with stakeholders to translate complex requirements into scalable, production-ready

Qualifications

  • Bachelor’s degree required in Data Science, ML, CS, Stats, Math, Eng, Analytucs, or related field.
  • Typically, 4–6 years of relevant experience.
  • Hands-on experience developing scalable data solutions using Python, R, and SQL, with data engineering, data pipelines, streaming architectures.

Responsibilities

  • Leading workstream delivery and ensuring quality in all processes.
  • Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
  • Implementing resource plans and budgets while managing engagement economics.

Skills

LLM tooling
Stakeholder mgmt
Cross-functional leadership
Data pipelines
Python
SQL
Cloud computing
Data security
Project management
Client relationships

Education

Bachelor’s degree in related field

Tools

Python
R
SQL
Big data ecosystems
Streaming architectures

Job description

EY is seeking a senior data/AI product & platform leader to guide multi-disciplinary teams in delivering intelligent data platforms for challenging client engagements. You will interact with clients daily, shape solution delivery, and manage budgets while driving high-impact outcomes across cross-functional teams.

The role emphasizes hands-on data engineering, cloud architectures, and robust collaboration with stakeholders to translate complex requirements into scalable, production-ready

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