Director of Data Engineering

We are looking for a visionary Director of Data Engineering to lead our data engineering, infrastructure, and analytics strategy.  In this role, you will oversee the foundation of our data-driven culture, ensuring that our infrastructure is scalable, secure, and high-performing. You will act as a strategic partner to the executive stakeholders, translating business goals into a robust technical roadmap to drive Rise to the next level of data-driven organization.

Requirements: Data Warehousing: Expert-level knowledge of modern Cloud Data Warehouses (e.g., BigQuery, Snowflake, or Redshift). Proven experience managing petabyte-scale datasets and optimizing for both performance and cost. Big Data Processing: Deep hands-on experience with Apache Spark (PySpark/Scala) for large-scale ETL and real-time data enrichment. Workflow Orchestration: Proficiency in Apache Airflow or similar tools; ability to design complex, multi-tenant DAGs and manage production-grade orchestration. Streaming & Event-Driven Systems: Experience with high-throughput ingestion and messaging systems (e.g., Kafka, Pub/Sub ). Infrastructure & DevOps: Strong understanding of cloud infrastructure (GCP/AWS) and experience running production systems at scale. AI/ML Foundations: Familiarity with MLOps and the infrastructure required to support AI applications (e.g., Vector Databases or model deployment pipelines). 4+ years of experience in a leadership role within Data Engineering or high-scale infrastructure environments. 6+ years in Data Engineering, Big Data, or Infrastructure roles. Leadership: Proven experience in a management or lead role, with a track record of scaling teams and infrastructure in high-growth environments. Experience in high-scale, high-throughput environments (e.g., real-time bidding, adtech, or high-volume log processing) is a significant advantage. Strong understanding of GCP/AWS cloud infrastructure and cloud cost management. Passion for business results and product orientation with experience in building the technical requirements for internal products. Excellent problem-solving skills and the ability to make data-driven decisions.