Data Platforms Manager
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Job Description
What You'll Do
• Lead the strategy, engineering, and operations of enterprise data platforms, ensuring scalable, secure, and reliable services.
• Drive platform modernization, automation, observability, and AI-enabled capabilities to improve efficiency and user experience.
• Provide hands-on technical leadership across AWS EMR, Hadoop, Spark, NoSQL, and cloud-based platforms.
• Partner with architecture, security, infrastructure, and business teams to deliver resilient and cost-effective solutions.
• Establish engineering standards, governance, reliability, performance, security, and compliance practices.
• Mentor engineers and foster a culture of innovation, accountability, and continuous improvement.
What You'll Bring
• 10+ years of experience in Data Platform Engineering, Big Data, or Cloud Technologies, including 3+ years leading engineering teams.
• Strong expertise in AWS EMR, Hadoop, Apache Spark, NoSQL databases (Cassandra, MongoDB, DynamoDB, Elasticsearch, HBase), and distributed data platforms.
• Hands-on experience with Terraform, Jenkins, Python, Git, DevOps, CI/CD, and platform automation.
• Proven success building and operating highly available, scalable, and secure enterprise data platforms.
• Strong knowledge of monitoring, observability, performance tuning, capacity planning, and stakeholder management.
• Experience with GenAI, AI-enabled platforms, cloud transformation, vendor management, and data governance is advantageous.
Requirements
Department: Technology
Function: Information Technology
Experience Level: Not Applicable