Responsibilities
- Lead platform cost optimization initiatives to enhance efficiency and reduce expenditures.
- Manage and scale Azure Data Platforms to support new product launches and ensure platform stability.
- Build and oversee automation and monitoring frameworks that capture operational KPIs and performance metrics for data platforms.
- Implement best practices for system integration, security, performance tuning, and platform management.
- Drive increased adoption of data, data science, and business intelligence to empower business operations.
- Collaborate with internal clients (data science and product teams) to drive solutioning and proof-of-concept (PoC) initiatives.
- Advance the architectural maturity of the data platform by working with enterprise architects and strategic partners.
- Develop and optimize procedures for deploying data science models into production environments.
- Define and enforce SLAs for platform and operational processes.
- Support large-scale experimentation and model deployment by data scientists.
- Research state-of-the-art methodologies to enhance platform performance and capabilities.
- Document learnings, best practices, and knowledge transfer strategies.
- Develop reusable packages or libraries to streamline platform engineering efforts.
Qualifications
16+ years of experience in platform engineering, cloud architecture, and infrastructure management.6+ years of experience in managing and optimizing cloud platforms, preferably in Azure.Expertise in platform observability, automation, and performance tuning.Experience with building large-scale, distributed platform services with high availability and resiliency.Proven ability to manage multiple platform engineering teams and collaborate with cross-functional stakeholders.Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or Bicep.Deep expertise in Azure services, including Azure Kubernetes Service (AKS), Azure Databricks, and Azure Data Factory.Strong knowledge of cloud security, governance, and compliance frameworks.Experience in implementing CI / CD pipelines and DevOps / DataOps best practices.Skills Required
Cloud Architecture, Azure Databricks, Technical Operations, Infrastructure, Performance Tuning, Azure Data Factory, Kubernetes