Senior Manager, Data Platform

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Requirements:

• 10+ years of experience, including 3+ years as a Senior Manager in data engineering, platform management, or similar roles, leading teams of 5+ members.
• Expertise in cloud-based data platforms (AWS, GCP, Azure) and big data technologies (e.g., Spark, Kafka, Databricks, Snowflake, Redshift).
• Hands-on experience designing data pipelines, ETL frameworks, and scalable data infrastructure.
• Strong understanding of data governance, security, and compliance best practices.
• Ability to communicate technical concepts effectively to non-technical stakeholders.
• Strong leadership and team-building skills with a track record of managing high-performing data engineering teams.

Responsibilities:

• Develop and execute a 12–18-month strategy for analytics and data platform evolution, aligned with organizational objectives.
• Provide technical and strategic direction to a cross-functional team of data engineers and data platform specialists.
• Work closely with senior leadership and business stakeholders to identify opportunities for data-driven decision-making and operational improvements.
• Drive adoption of best-in-class data platform solutions that balance scalability, security, and usability.
• Lead the design and implementation of scalable data pipelines, ETL processes, and data warehousing solutions to ensure data accuracy, integrity, and availability.
• Evaluate and integrate cutting-edge data technologies to improve processing efficiency, storage, and accessibility.
• Build self-service analytics and BI tools to empower teams across product, marketing, finance, and operations with real-time insights.
• Establish and enforce data governance policies, ensuring compliance with relevant data protection regulations and industry best practices.
• Implement data security measures to protect sensitive information and maintain high standards of data integrity and access control.
• Recruit, mentor, and manage a high-performing team of data engineers and platform specialists.
• Foster a collaborative and innovative team culture that encourages continuous learning and growth.
• Partner with cross-functional teams, including product, analytics, finance, and operations, to ensure the data platform meets evolving business needs.
• Translate business challenges into scalable data solutions, ensuring seamless integration into company-wide decision-making processes.