Senior Lead Data Engineer - Platform Engineering
About the role
The Senior Lead Data Engineer - Platform Engineering is a leadership role responsible for the end-to-end engineering, availability, security, and cost governance of the organization's Data, BI, AIML, and Agentic AI platforms. The position involves administrative ownership of core data and reporting infrastructure, including Snowflake, on-premises servers, Tableau, SSRS, and cloud environments (AWS, Azure, GCP). The role includes leading platform reliability, security, cost efficiency, and managing a team of Data, Cloud, and ML Engineers. Key responsibilities include platform and capacity planning, implementing cost control and security measures, managing user access, leading vendor engagements, evaluating new technologies, and acting as platform architect for major infrastructure initiatives such as cloud migration and Agentic AI platform rollout. The role also involves mentoring and developing technical teams.
Must have
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
- 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.
- Proven experience leading technical teams, with excellent stakeholder management, problem-solving, and communication skills.
- 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.
Nice to have
- Master's Degree or relevant industry certifications will be an added advantage.
- Exposure to or working knowledge of Agentic AI platforms and their underlying infrastructure requirements will be a strong advantage.
Technologies
- Agentic AI
- AWS
- Azure
- Cloud Security
- Data Engineering
- Data Warehousing
- FinOps
- GCP
- IAM
- Machine Learning
- Snowflake
- SSRS
- Tableau
Highlights
Candidates must possess at least one of the specified certifications (AWS, IBM, Google Cloud, or Microsoft Azure). A Master's degree or relevant industry certifications are considered an added advantage. The role requires 8 to 10+ years of experience. No explicit mention of remote work or location requirements.
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