Your New Role :
We are seeking a highly skilled and strategic Director, Data Platforms to lead the design, implementation, and governance of our next-generation data platforms. This leadership role will be responsible for the architecture, technology, and governance of our data systems, ensuring they are optimized for scalability, future readiness, and operational efficiency. The ideal candidate will have a strong background in data engineering, platform architecture, and cross-functional leadership, combined with the ability to drive impactful changes and implement cutting-edge technologies in alignment with business needs.
Technology Leadership Strategy:
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Define and drive the vision, strategy, and roadmap for the organization s data platform, ensuring alignment with business objectives and technological advancements.
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Lead the design and development of highly scalable, reliable, and future-proof data platforms using modern cloud-based technologies and architectures (e.g., cloud-native, microservices, and containerized environments).
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Establish and maintain a robust framework for platform governance, ensuring adherence to industry best practices, data security, compliance standards, and regulatory requirements.
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Define and enforce policies related to data access, privacy, data quality, data lifecycle management, and platform auditing.
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Collaborate with legal, compliance, and risk teams to ensure the platform complies with all relevant laws and regulations, such as GDPR, CCPA, etc.
Platform Architecture Implementation:
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Lead the architecture and design of data platform components, integrating them across various data ecosystems (cloud, on-premise , hybrid) to ensure seamless data flow, processing, and accessibility.
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Ensure the platform is optimized for high availability, disaster recovery, and performance, while being cost-effective and scalable to meet future business needs.
Cross-functional Collaboration:
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Work closely with data engineering, analytics, data science, and business teams to ensure the platform meets the diverse needs of stakeholders and provides meaningful insights for the business.
Innovation Future Readiness:
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Stay ahead of emerging technologies and trends in the data landscape (AI, machine learning, data lakes, automation) and incorporate innovative solutions to continuously enhance platform capabilities.
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Ensure the platform is adaptable to support future data initiatives, such as advanced analytics, AI, and machine learning use cases.
Team Leadership and Development:
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Build, develop, and mentor a high-performing data platform engineering team, fostering a culture of collaboration, innovation, and excellence.
Qualifications Experiences:
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1 2 + years of experience in data engineering, platform architecture, and implementation, with a focus on building and scaling complex data platforms.
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Proven experience in designing and implementing cloud-based data platforms (AWS, Azure, GCP) with expertise in modern data architectures and tools (e.g., Hadoop, Spark, Kafka, Snowflake, etc.).
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Strong understanding of data governance, security, and compliance standards (GDPR, CCPA, HIPAA, etc.).
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Expertise in managing data platform lifecycle, including strategy, architecture, governance, and operations.
If you re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.