Senior AI Data Infrastructure Engineer

GlaxoSmithKline; Durham (NC); Hybrid; USD 150,000 - 210,000; Full time

Job summary

GlaxoSmithKline seeks a Senior Data Engineer to lead the design of production data systems for a cross‑functional Enterprise AI team. You will define architectural standards, enforce data quality, mentor junior engineers across pipelines and governance, and drive critical data initiatives with measurable impact.

The role is based in the United States with a hybrid work model and requires 8+ years of experience in data engineering, leading complex data platforms and AI‑grade data infrastructure.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering or related field or equivalent practical experience.
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Responsibilities

• Lead the design of production pipelines that serve multiple downstream consumers and define architectural standards for the team and its digital workers.

Skills

Databricks

BigQuery

Airflow

dbt

Spark

SQL

Data Engineering

Data Governance

Data Modeling

Data Ingestion

Data Transformation

ETL Development

Education

Bachelor's degree in Computer Science, Data Engineering or related field

Tools

Databricks

BigQuery

Airflow

dbt

Spark

Job description

GlaxoSmithKline seeks a Senior Data Engineer to lead the design of production data systems for a cross‑functional Enterprise AI team. You will define architectural standards, enforce data quality, mentor junior engineers across pipelines and governance, and drive critical data initiatives with measurable impact.

The role is based in the United States with a hybrid work model and requires 8+ years of experience in data engineering, leading complex data platforms and AI‑grade data infrastructure.