Director - Data Engineering

• Lead the design and architecture of modern data platforms, including Data Lakehouse, Data Mesh, and event-driven architectures, across various cloud environments, with a strong preference for AWS.
• Architect and implement data solutions that leverage GraphDBs for complex relationship mapping and VectorDBs for semantic search and AI applications, ensuring optimal performance and scalability.
• Drive and execute end-to-end cloud migration strategies for legacy data assets, ensuring a seamless transition with zero downtime.
• Architect and implement real-time data ingestion and processing pipelines using technologies such as Apache Kafka, Spark Streaming, and Apache Flink to support real-time analytics and applications.
• Define and enforce ETL/ELT coding standards to ensure data consistency, reusability, and long-term maintainability of data pipelines.
• Establish and champion comprehensive data governance frameworks, including data lineage, compliance, and security practices.
• Lead the strategic and functional architecture of data platforms, focusing on the deployment and integration of solutions rather than the development of AI models.
• Collaborate with business stakeholders to translate complex business requirements into scalable and sustainable architectural designs.
• Lead, mentor, and guide a team of engineers, fostering a culture of technical excellence and innovation.

Required Skills and Qualifications

• Bachelor's degree in Information Technology, Computer Science, or a related field.
• 15+ years of experience in a data engineering or architectural leadership role.
• Proven expertise in cloud platforms, with a strong focus on AWS.
• Extensive experience with modern data architectures, including Kappa/Lambda, Data Lakehouse, and Data Mesh.
• Deep technical proficiency in data engineering tools such as Apache Spark, Apache Flink, Kafka, and PySpark.
• Proven experience with GraphDBs (e.g., Neo4j, Amazon Neptune) or VectorDBs (e.g., Pinecone, Milvus).
• Demonstrated understanding of strategic and functional architecture, with a focus on solution deployment and infrastructure design in a cloud environment.
• Strong understanding of data governance principles, including data lineage, MDM, and security.
• Excellent communication and leadership skills, with the ability to translate complex technical concepts to both technical and non-technical audiences.