About Deutsche Börse Group:

n Headquartered in Frankfurt, Germany, Deutsche Börse Group is a leading international exchange organization and market infrastructure provider. They empower investors, financial institutions, and companies by facilitating access to global capital markets.

n Their India centre is located in Hyderabad, serves as a key strategic hub and comprises Indias top-tier tech talent. They focus on crafting advanced IT solutions that elevate market infrastructure and services. Deutsche Börse Group in India is composed of a team of capital market engineers forming the backbone of financial markets worldwide.

Your area of work:

nAs part of Deutsche Börse Groups digital transformation and cloud migration journey, the Big Data & Advanced Analytics (BDAA) team is seeking a skilled and forward-thinking Head of Data Infrastructure & Automation. This role focuses on leading and scaling automation capabilities across the enterprise data platform, ensuring that the underlying cloud-based infrastructure and cloud services run efficiently, securely, and reliably through intelligent automation, modern engineering practices, and robust collaboration with product, engineering, and operations teams.

nYour responsibilities:

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- Lead and mentor a team of DevOps engineers and automation specialists.
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- Understand the operational lifecycle of cloud native services (Azure/GCP) , including networking , compute, storage, IAM, and monitoring.
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- Maintain strong, practical hands-on familiarity with BigData technologies (e.g., Databricks, Spark, Delta Lake, SQL).
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- Oversee and perform hands-on automation for provisioning, configuration, and scaling of cloud resources.
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- Translate operational challenges into scalable automation solutions.
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- Ensure compliant, secure, and resilient cloud operations through IaC and automated guardrails.
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- Improve SLAs, SLOs, and reliability indicators through automated remediation and continuous improvement.
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- Implement robust documentation and operational best practices.
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nYour profile:

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- Proven experience leading and developing high performing technical teams in complex, fast paced environments.
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- Demonstrated ability to collaborate effectively with distributed teams across multiple geographical locations and time zones.
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- Strong background in cloud technologies and cloud native operations (e.g., Azure or GCP), with understanding of cloud service lifecycles and operational patterns.
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- Solid knowledge of data platforms, big data processing frameworks, and modern data engineering ecosystems (e.g., Databricks, Spark, Delta Lake).
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📌 Leading Associate Vice President - Manager Data Infrastructure & Automation (Hyderabad)
🏢 Deutsche Borse Group
📍 Hyderabad