You will be the Enterprise Engineering & Analytics' India Discipline leader for SRE’s, Automation Engineers and Cloud Engineers with roughly half of your role as management and mentorship and the other half execution as a product manager in a product team.
ROLES & RESPONSIBILITIES
Platform Leadership: Lead the design, implementation, and lifecycle management of enterprise data platforms including:
AWS Cloud Platform: Provisioning, operations, cost optimization, and observability
Databricks: Cluster management, job orchestration, security governance, and platform upgrades
Data Visualization Platforms: Oversight of Tableau, Power BI, and other relevant tools
Data Quality & Governance: Implement and manage tools like Collibra, Informatica DQ, or equivalent
Databases: : Implement and manage Relational, No-SQL & Graph Databases.
Site Reliability Engineering (SRE): Ensure resilience, availability, observability, and automated recovery mechanisms for data platforms. Drive DevOps and IaC (Infrastructure as Code) practices.
Cloud FinOps: Manage cloud spend and optimize cost-performance trade-offs for AWS and Databricks. Establish governance policies and dashboards for consumption tracking.
Operations & Support: Establish and oversee L2/L3 support for platform incidents, SLAs, and maintenance. Ensure platform health, upgrades, patching, and vulnerability remediation.
Innovation & Roadmap Execution: Stay current with cloud-native innovations and establish strategic roadmaps for platform evolution. Lead PoCs and pilot initiatives aligned with business priorities.
Collaboration: Partner with enterprise architects, product owners, engineering teams, and business stakeholders to drive data platform adoption and ensure alignment with enterprise standards.
Team Leadership: Manage a team of platform engineers and vendors across global time zones. Foster a high-performance, inclusive, and collaborative team culture.
Must-Have Skills
Experience in Designing, Implementing & Managing enterprise scale cloud Data, BI platforms, automation engineering, SRE teams for data platforms or applications.
Experience with AWS/Azure, Databricks, PowerBI, Tableau, Informatica platforms
Strong understanding of Cloud Infrastructure, Data and AI platforms, Data Warehouse, and data pipeline concepts and practices.
Strong understanding of cloud infrastructure and data pipeline performance and cost factors, and experience in optimizing costs.
