8 to 10+ years of experience in Platform Engineering, Cloud Infrastructure, Data Engineering, or related roles, including hands-on administration of enterprise data/BI platforms. Please refer to the job advert for further information.
Senior Lead Data Engineer - Platform Engineering
Description
Job Purpose
Are you passionate about owning and evolving the core infrastructure that powers enterprise analytics, AI, and business-critical reporting? We are looking for an experienced Senior Lead – Platform Engineering to lead the end-to-end engineering, availability, security, and cost governance of our Data, BI, AIML, and Agentic AI platforms.
In this leadership role, you will hold administrative ownership of our core data and reporting infrastructure — including Snowflake, on-premises servers, Tableau, SSRS, and our AWS, Azure, and GCP cloud environments — and act as platform architect for major infrastructure initiatives, including cloud migration and the buildout of our emerging Agentic AI platform. You will drive platform reliability, security, and cost efficiency while leading a team of Data, Cloud, and ML Engineers.
The Job
- Own end-to-end platform engineering for the organization's Data, BI, and AIML infrastructure, including Snowflake, on-premises servers, Tableau, SSRS, AWS, Azure, and GCP, ensuring platform reliability and near-100% availability.
- Lead platform & capacity planning and resource provisioning across cloud and on-prem environments to support current and future business demand.
- Implement cost control measures and FinOps practices to ensure efficient, well-governed utilization and scaling of cloud and platform resources.
- Implement security measures across data and AI platforms, including infrastructure hardening, access control, and governance over confidential and sensitive data.
- Manage user access provisioning across AWS, Tableau, and Snowflake, enforcing least-privilege and access governance standards.
- Lead vendor engagements and day-to-day BAU support, ensuring service levels are maintained across all platform components.
- Carry out new feature trials and proofs of concept with cross-functional teams to evaluate and adopt emerging platform, Big Data, Cloud, and Agentic AI technologies.
- Design, deploy, and operate the infrastructure underpinning the organization's Agentic AI platform, enabling next-generation automation and AI-driven decision-making capabilities.
- Act as platform architect for major infrastructure initiatives, including ongoing cloud migration and Agentic AI platform rollout, designing target-state architecture and leading execution.
- Serve as the primary L3 escalation point across on-prem, AWS, GCP, Azure, and Snowflake environments.
- Drive the technology roadmap for the AI, Agentic AI, and analytics platforms practice, championing automation, standardization, and continuous improvement.
- Lead, mentor, and develop a team of Data, Cloud, and ML Engineers, building capability and reducing single-person dependency risk through upskilling and succession planning.
Entry Requirements
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Master's Degree or relevant industry certifications will be an added advantage.
- 8 to 10+ years of experience in Platform Engineering, Cloud Infrastructure, Data Engineering, or related roles, including hands-on administration of enterprise data/BI platforms.
- Proven experience owning and operating production platforms such as Snowflake, AWS, Tableau, and on-premises server infrastructure.
- Strong expertise in cloud security, IAM/access governance, cost optimization (FinOps), and platform capacity planning.
- Experience leading infrastructure or cloud migration initiatives, including architecture design and execution.
- Exposure to or working knowledge of Agentic AI platforms and their underlying infrastructure requirements will be a strong advantage.
- Proven experience leading technical teams, with excellent stakeholder management, problem-solving, and communication skills.
Required Certification
Candidates must possess at least one of the following certifications/programs:
- AWS Certified Solutions Architect / AWS Certified SysOps Administrator
- IBM Data Engineering Professional Certificate
- IBM Data Warehouse Engineer Professional Certificate
- Preparing for Google Cloud Professional Data Engineer (Data Engineering on GCP Path)
- Microsoft Azure Data Engineering (DP-203) Aligned Program
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