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High-Performance Data Solutions Strategist
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We are seeking a visionary Chief Data Architect to spearhead the design and implementation of scalable, high-performance data solutions that drive enterprise analytics and digital transformation initiatives. This critical role demands expertise in modern cloud-based data architectures, along with exceptional leadership skills to guide cross-functional teams in a Scaled Agile environment.
Key Responsibilities- Architecture Strategy: Design and implement robust, modular data architectures that support business growth and R&D initiatives.
- Data Pipelines Optimization: Develop high-performance data pipelines for batch and real-time processing, ensuring scalability, cost-efficiency, and analytical capabilities.
- Governance Compliance: Drive data governance strategies to embed security, compliance, access controls, and lineage tracking into all enterprise data solutions.
- Agile Leadership Collaboration: Lead Scaled Agile practices, including PI Planning, and collaborate with stakeholders to align data architecture strategies with organizational goals.
- Doctorate or Master's degree with relevant experience or Bachelor's degree with extensive experience in Computer Science, IT, or related fields.
- Expertise in Databricks, cloud-native data platforms, Apache Spark, and Apache Airflow.
- Strong proficiency in modern data modeling techniques, including dimensional modeling, NoSQL, and data virtualization.
- Hands-on experience with CI/CD, DataOps automation, and infrastructure as code.
- Certifications like AWS Certified Data Engineer and Databricks Certificate are highly valued.
- Strategic thinking and technical leadership skills.
- Effective collaboration with global teams to drive successful data initiatives.
- Strong verbal and written communication skills to present complex concepts.
- Adaptability, ability to learn quickly, and manage multiple priorities.