Cloud Platform Engineer, Officer

Cloud Platform Engineering (CPE) | Enterprise Data Platforms

Role Overview

The Cloud Platform Engineering (CPE) organization is responsible for delivering secure, scalable, resilient, and standardized enterprise data platform capabilities across multi-cloud environments. This role is a platform engineering and operations position (Officer level) focused on:

Platform enablement and standardization

Cloud infrastructure and data platform operations

Governance, risk, and compliance alignment

Automation and operational excellence

The position emphasizes run-based ownership, platform lifecycle management, and cross-functional collaboration, and is not a software development role.

Core Responsibilities

1. Platform Engineering & Operations

Own end-to-end operational management of enterprise data platforms across Azure and AWS

Ensure high availability, resiliency, and performance of cloud-based data platforms

Drive standardization of platform configurations, deployment patterns, and operational controls

Support platform lifecycle activities: provisioning, onboarding, upgrades, patching, and decommissioning

2. Infrastructure as Code (IaC) & Automation

Design and implement Infrastructure as Code (IaC) solutions using Terraform

Develop reusable platform modules and templates for consistent deployments

Automate operational workflows using:

Azure CLI / AWS CLI

Bash / PowerShell scripting

Python (where applicable)

Reduce manual effort by implementing self-service and automated provisioning frameworks

3. CI/CD & Platform Delivery

Build and maintain CI/CD pipelines (Azure DevOps) for:

Infrastructure provisioning

Environment promotion

Platform configuration management

Enable controlled, auditable, and repeatable deployments

Ensure segregation of duties and compliance alignment in deployment workflows

4. Governance, Security & Compliance

Enforce enterprise-wide security controls and governance frameworks, including:

RBAC (Role-Based Access Control)

Encryption (at rest and in transit)

Key management (Azure Key Vault / AWS KMS)

Ensure compliance with internal policies and regulatory requirements

Participate in audit readiness, evidence collection, and remediation activities

Drive secure-by-design platform principles

5. Incident Management & Operational Excellence

Provide L2/L3 support for platform incidents and service requests

Lead incident triage, troubleshooting, and root cause analysis (RCA)

Implement preventive measures and continuous improvement initiatives

Establish and maintain SLA/SLO adherence and observability standards

Reduce Sev-1 incidents and operational risk through automation and standardization

6. Data Platform & Tooling Support

Support and manage enterprise BI and data integration tools, including:

Talend

Qlik (Compose, Replicate/Attunity)

Databricks (optional)

Ensure platform stability, scalability, and integration across data ecosystems

Enable data platform onboarding for business and engineering teams

7. Cost Optimization & Performance Engineering

Monitor and optimize cloud resource utilization and cost

Implement cost governance controls and tagging strategies

Drive performance tuning and capacity planning

Provide insights on cost vs. performance trade-offs

8. Documentation & Platform Enablement

Develop and maintain:

Runbooks (primary deliverable from CPE)

Operational playbooks

Architecture and configuration documentation

Standardize onboarding guides and platform usage patterns

Ensure operational transparency and knowledge sharing across teams

9. Stakeholder & Cross-Functional Collaboration

Partner with:

Architecture teams

Security & Risk

Application and Data Engineering teams

Cloud platform providers and vendors

Act as a platform SME, enabling adoption across enterprise teams

Contribute to platform strategy and roadmap discussions

Required Qualifications

10+ years of experience in cloud platform engineering / data platform operations

Strong hands-on experience with:

Microsoft Azure and/or AWS

Terraform (Infrastructure as Code)

Azure DevOps (CI/CD pipelines)

Strong scripting and automation expertise:

Bash / PowerShell / Python / REST APIs

Solid understanding of:

Cloud data platforms (e.g., Snowflake, Databricks ecosystems)

Networking, security, and cloud architecture patterns

Proven experience in:

Production support environments (L2/L3 support)

Incident management and RCA processes

Strong knowledge of:

RBAC, IAM, encryption, governance, compliance frameworks

Excellent communication, documentation, and stakeholder engagement skills

Preferred Qualifications

Experience in Financial Services / regulated environments (e.g., FFIEC, SOC2, etc.)

Exposure to multi-tenant or shared enterprise platform models

Experience supporting SaaS-based data platforms

Familiarity with:

Snowflake ecosystem

Data governance tooling

Observability and monitoring frameworks

Experience working in customer-facing or consulting roles

Awareness of AI/ML-driven automation and platform efficiencies

Experience in platform onboarding, enablement, and adoption programs

Leadership & Behavioural Competencies

Strong ownership mindset with accountability for platform stability and outcomes

Ability to operate effectively in a controlled, process-driven enterprise environment

Strong collaboration and influencing skills across global teams

High attention to documentation quality, audit readiness, and governance alignment

Continuous focus on automation, efficiency, and operational improvement

Success Measures

Consistent achievement of SLA/SLO targets for platform uptime and reliability

Measurable reduction in:

Manual operational tasks

Sev-1 and critical incidents

Improved platform onboarding time and user adoption

Enhanced automation coverage and operational efficiency

Demonstrable cloud cost optimization and governance adherence

Strong audit outcomes with minimal compliance gaps

Additional Notes

This role is part of the Cloud Platform Engineering (CPE) organization

Core focus areas include:

Platform enablement

Governance and controls

Operational excellence

Code development is not expected; emphasis is on infrastructure, automation, and operations