Full-Time Senior Manager, Data Platform

What You’ll Need

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in data engineering, platform management, or similar roles, including 3+ years in a leadership position.
• 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.

About the Role We are seeking an experienced Senior Manager, Data Platform to drive our data infrastructure and analytics initiatives across the company. As a key leader within the data organization, you will be responsible for designing, implementing, and scaling data engineering strategies that enhance decision-making, operational efficiency, and business intelligence capabilities. This role requires a deep understanding of data engineering, data management, governance, and platform scalability to enable a seamless, self-service data experience for teams across the company.

What You’ll Do

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

What is the last date for applying to the job?

Which countries are accepted for this remote job?