Lead Development Systems Engineer

Job Family Group:
Procurement & Supply Chain Management Group

Job Description:

bpx energy, a major oil and gas producer in the United States, leverages its expertise in unconventional gas, including shale, to deliver hydrocarbon production and technical knowledge worldwide. With operations in Texas and Louisiana, our US onshore business has become both a premier oil and gas producer and a leader in reducing methane emissions.

As part of BP, a global industry leader, we foster a high-energy, high-intensity environment built on accountability, collegiality, innovation, and empowerment. At bpx, we support our people to learn and grow in a diverse and challenging environment where collaboration, continuous improvement, and inclusion are valued.

Discover your place with us and help our business meet the challenges of reimagining and reinventing the future of energy.

Role Synopsis We are seeking a Lead Development Systems Engineer to serve as the senior technical authority for the Corporate Land team. This individual contributor will bridge business operations and technical delivery, shaping the architecture, roadmap, and engineering standards for scalable automation, data, and AI-enabled solutions. The ideal candidate combines deep hands-on engineering capability with the judgment and influence to lead complex work across organizational boundaries.

Key Accountabilities Serve as the technical lead and solutions architect for Corporate Land, translating complex business needs into scalable, supportable technical solutions.

Own solution architecture and end-to-end delivery for automation, data, analytics, and AI-enabled products, from discovery through deployment and lifecycle support.

Design and guide development of data pipelines, queries, applications, and analytical products using Snowflake, Databricks, Palantir, and related platforms.

Establish reusable engineering patterns, technical standards, and quality controls for code, testing, documentation, observability, security, and deployment.

Build and maintain a prioritized technical roadmap aligned with Corporate Land strategy, business value, enterprise architecture, and platform direction.

Lead technical decision-making across complex or ambiguous initiatives, evaluating tradeoffs involving scalability, maintainability, reliability, cost, and speed.

Influence cross-functional stakeholders and partner with data, architecture, security, and business teams to resolve dependencies and accelerate delivery.

Mentor engineers, analysts, and business builders through design reviews, code reviews, coaching, and practical knowledge transfer.

Monitor solution performance, reliability, adoption, and cost; identify technical debt and lead continuous improvement of deployed products.

Essential Experience and Education Bachelor's degree in Computer Science, Data Science, Engineering, Physics, or a related technical field, or equivalent relevant experience.
10+ years of experience in software development, data engineering, automation, analytics engineering, or a closely related technical field.

Demonstrated experience leading architecture and end-to-end delivery of complex, production-grade data, software, automation, or AI solutions.

Advanced proficiency in Python and SQL, with a track record of producing clean, maintainable, well-tested code.

Advanced hands-on experience with modern cloud data platforms such as Snowflake, Databricks, or Palantir, including data modeling and performance optimization.

Strong knowledge of data architecture, ETL/ELT, APIs, governance, security, CI/CD, observability, and software development lifecycle practices.

Experience setting technical direction, defining reusable standards, conducting design and code reviews, and mentoring technical contributors.

Ability to influence senior technical and business stakeholders, navigate ambiguity, and make sound decisions across competing priorities.

Desirable Criteria Experience in the energy or oil and gas industry, particularly with land, ownership, contracts, leases, title, or related business processes.

Experience building internal applications, workflow tools, dashboards, or self-service analytics products.

Experience with AI-assisted development tools, prompt engineering, retrieval-augmented generation, LLM APIs, or deploying AI-enabled applications.

Experience with cloud platforms such as AWS or Azure and infrastructure-as-code concepts.

Experience with data orchestration and transformation tools such as Airflow, dbt, or Databricks…