Kuala Lumpur, Malaysia
Onsite
Entity:
Technology
Job Family Group:
Job Description:
You will work with
You will work as a member of a high-performing team of engineers, collaborating with Product Management, Architecture, Engineering, Support, Cyber Security, Data Governance, data product owners, source system teams, vendors, and consumers.
Together, you will shape how Security Hyperplane data products, analytics, reporting, observability, and supporting services are adopted and used across Digital Security.
Let me tell you about the role
As a Senior Security Hyperplane Enablement Engineer or known as Senior Platform Enablement Engineer, you will lead complex onboarding, integration, migration, configuration, readiness, adoption, and transition of Security Hyperplane data products and platform services.
You will apply broad technical and functional knowledge to help consumers adopt approved capabilities securely, consistently, and efficiently. You will guide consumers through established product direction, architecture, engineering standards, security policies, data governance requirements, operational practices, and reusable implementation patterns.
You will work across Security Hyperplane capabilities, including security and identity operational context data products, ontology, data ingestion, analytics, reporting, observability, data access, governance, and supporting platform services.
You will be a partner with Engineering when platform changes or new technical capabilities are required. You will transition operationally ready implementations to Support through a defined handoff that establishes ownership, documentation, monitoring, implementation evidence, known risks, and support arrangements.
This is an Individual Contributor role. Your leadership will come through technical authority, enterprise influence, sound judgement, mentorship, and ownership of outcomes rather than line-management authority.
What you will deliver
Assess consumer needs, technical dependencies, data requirements, securityconsiderations, 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.
What you will need to be successful
A bachelorʼs 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 such as:
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
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.
Technical skills we need from you
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.
Essential skills
Ownership: Lead complex enablement outcomes to completion while escalating architectural decisions, platform changes, operational incidents, and policy exceptions to their accountable owners.
Structured problem-solving: Analyse complex technical, data, operational, and governance dependencies and coordinate appropriate action.
Enterprise systems thinking: Understand how data products interact with source systems, applications, infrastructure, analytics, controls, and business processes.
Governance: Apply approved security, architecture, data, risk, and compliance requirements throughout enablement.
Consumer enablement: Understand consumer outcomes and guide teams toward secure, governed, supportable, and reusable data solutions.
Evidence discipline: Produce accurate, complete, and traceable evidence demonstrating implementation and transition readiness.
Collaboration and influence: Build alignment across teams without relying on direct organizational authority.
Communication: Explain complex data concepts, requirements, risks, and decisions clearly to technical and nontechnical audiences.
Mentorship: Guide developing engineers and share technical and operational knowledge across the team.
Continuous improvement: Convert recurring consumer needs and implementation friction into improved patterns, automation, documentation, and platform feedback.
Skills that set you apart
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 bp
Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request
accommodation.
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Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
