Senior Data & AI Systems Architect — Hybrid Remote

BP Americas, Inc.

Denver (CO)

Hybrid

USD 170,000 - 200,000

Full time

9 days ago

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Benefits offered by this job

Health insurance
401(k) matching

Job summary

BP Americas, Inc. seeks a Lead Development Systems Engineer to serve as the senior technical authority for the Corporate Land team. This role bridges business operations and technical delivery, shaping architecture, roadmap, and engineering standards for scalable automation, data, and AI-enabled solutions.

The ideal candidate combines deep engineering with strategic influence, leading complex work across organizational boundaries and mentoring engineers and analysts.

Qualifications

  • Bachelor's degree in a technical field or equivalent experience.
  • 10+ years in software/data/automation/analytics.
  • Proven architecture leadership and end-to-end delivery of complex data/AI solutions.
  • Proficiency in Python and SQL with clean, well-tested code.
  • Cloud data platforms: Snowflake, Databricks, Palantir; data modeling & performance.
  • Knowledge of data architecture, ETL/ELT, APIs, governance, security, CI/CD, observability, lifecycle.

Responsibilities

  • Act as technical lead and solutions architect for Corporate Land.
  • Own end-to-end delivery for automation, data, analytics, and AI-enabled products.
  • Design data pipelines and analytical products using Snowflake, Databricks, Palantir.
  • Set reusable engineering standards, testing, security, and deployment practices.
  • Build a technical roadmap aligned with strategy and platform direction.
  • Lead technical decisions across complex initiatives and mentor teams.

Skills

Python
SQL
Data architecture
CI/CD
APIs
Governance
Security
Observability

Education

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

Tools

Snowflake
Databricks
Palantir
Airflow
dbt

Job description

BP Americas, Inc. seeks a Lead Development Systems Engineer to serve as the senior technical authority for the Corporate Land team. This role bridges business operations and technical delivery, shaping architecture, roadmap, and engineering standards for scalable automation, data, and AI-enabled solutions.

The ideal candidate combines deep engineering with strategic influence, leading complex work across organizational boundaries and mentoring engineers and analysts.

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