B

BP

Global energy company transitioning to renewables

Senior Platform Enablement Engineer

Data Management +1Posted on Nov 13
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, data, cyber security, or a related field, or equivalent practical experience.
  • At least five years of professional experience in data platforms, data engineering, data products, analytics, platform enablement, systems integration, service transition, or a related enterprise technology enablement.
  • Demonstrated experience leading complex onboarding, integration, migration, configuration, or adoption activities in a large enterprise environment.
  • Practical knowledge of at least two areas: data platforms and data products; data ingestion and pipelines; ontology, metadata, and lineage; data quality and reconciliation; analytics, reporting, and observability; data access and governance; platform integration and service transition; or security and identity data.
  • Experience working with security policies, architecture standards, operational requirements, data governance, compliance controls, and auditable implementation evidence.
  • Experience collaborating across Product Management, Architecture, Engineering, Support, Cyber Security, Data Governance, Risk, Compliance, vendors, and consumers.
  • Strong understanding of enterprise data platform and data product lifecycles, including ingestion, processing, storage, analytics, reporting, observability, data access, data quality, data governance, and consumption.
  • Ability to understand enterprise data architectures, integration dependencies, data flows, technical requirements, and operational considerations.
  • Experience integrating data products with source systems, enterprise applications, cloud services, analytics environments, and automated workflows.
  • Experience using scripting, application programming interfaces, data queries, automation, orchestration, and continuous integration and delivery practices to support integration and repeatable enablement.
  • Experience applying version control, peer review, automated testing, validation, and controlled deployment practices to data integrations and enablement automation.
  • Ability to diagnose complex integration and configuration issues, determine the responsible technical domain, and coordinate resolution with the appropriate owner.
  • Ability to produce clear, maintainable, and auditable implementation documentation, readiness evidence, technical procedures, and operational handoff materials.
  • Lead complex enablement outcomes to completion while escalating architectural decisions, platform changes, operational incidents, and policy exceptions to their accountable owners.
  • Analyse complex technical, data, operational, and governance dependencies and coordinate appropriate action.
  • Understand how data products interact with source systems, applications, infrastructure, analytics, controls, and business processes.
  • Apply approved security, architecture, data, risk, and compliance requirements throughout enablement.
  • Understand consumer outcomes and guide teams toward secure, governed, supportable, and reusable data solutions.
  • Produce accurate, complete, and traceable evidence demonstrating implementation and transition readiness.
  • Build alignment across teams without relying on direct organizational authority.
  • Explain complex data concepts, requirements, risks, and decisions clearly to technical and nontechnical audiences.
  • Guide developing engineers and share technical and operational knowledge across the team.
  • Convert recurring consumer needs and implementation friction into improved patterns, automation, documentation, and platform feedback.

Responsibilities

  • Assess consumer needs, technical dependencies, data requirements, security considerations, governance obligations, and lifecycle stage before beginning enablement work.
  • Plan and lead complex onboarding, integration, configuration, migration, and adoption activities across Security Hyperplane data products and services.
  • Guide consumers in applying approved patterns for data ingestion, data-product consumption, analytics, reporting, observability, access, metadata, lineage, and data quality.
  • Coordinate with Engineering when a consumer need requires a platform change, new capability, architectural decision, or exception to an approved pattern.
  • Validate implementation, security, governance, data, and operational readiness before capabilities enter service.
  • Produce and validate evidence demonstrating that enablement activities met applicable architecture, security, governance, control, and readiness requirements.
  • Establish procedures for recurring operational control evidence and transition those procedures to Support and the accountable control owner during handoff.
  • Develop and improve reusable onboarding guides, integration patterns, migration procedures, configuration standards, readiness checklists, automation, and self-service materials.
  • Lead migrations from legacy or non-standard data solutions to approved Security Hyperplane capabilities and patterns.
  • Identify adoption barriers, recurring consumer needs, data quality issues, governance concerns, and opportunities for automation or platform improvement.
  • Establish feedback loops with Product Management, Engineering, and Support so enablement experience informs product decisions, service improvements, and reusable capabilities.
  • Complete governed handoffs to Support with agreed ownership, operational documentation, monitoring, escalation paths, known risks, readiness evidence, and support arrangements.
  • Measure enablement outcomes such as adoption, time to value, migration completion, implementation quality, consumer readiness, and reduction of recurring friction.
  • Provide technical guidance and mentorship to developing Enablement Engineers.

Desired Qualifications

  • Experience enabling global data platforms or data product ecosystems, or related enterprise technology, in highly regulated or security-sensitive environments.
  • Experience leading platform consolidation, data migration, modernization, or retirement of legacy data capabilities.
  • Experience developing reusable onboarding patterns, migration approaches, readiness assessments, or self-service capabilities.
  • Experience improving data reliability, data quality, observability, operational assurance, or Support practices across an enterprise.
  • Experience using adoption data, consumer feedback, operational insights, and recurring demand to influence product or platform improvements.
  • Experience enabling security or identity data products and analytical services.
  • Ability to balance security, governance, usability, supportability, standardization, and consumer time to value.

About the Company

BP

Global energy company transitioning to renewables

BP operates as a global energy company that supplies oil, gas, and electricity while also investing in renewable energy projects such as solar and offshore wind. It manages exploration, production, and distribution of energy resources and aims to help the world move toward a net-zero future by growing its renewable energy capacity and reducing carbon emissions. Unlike firms that focus only on fossil fuels or renewables, BP combines traditional energy with a broad, ongoing shift toward sustainable solutions, funded by strategic investments in climate-friendly projects. Its goal is to provide reliable energy to governments, businesses, and consumers while delivering value to shareholders and supporting societal sustainability goals.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1909

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