Director, Data Engineering

October 30

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Wizard AI

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💰 $50M Series A on 2021-10

Description

• About Us • Wizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. • The Role • Reporting directly to the CTO, the Director of Data Engineering & Data Operations will spearhead developing, scaling, and managing our data infrastructure and operations. • Key Responsibilities: • Leadership & Strategy: • Lead the data engineering and data operations teams, setting strategic direction and driving execution of data initiatives that align with company goals. • Cultivate a culture of excellence, innovation, and accountability. • Architecture & Scalability: • Design and implement scalable data engineering solutions to support growing data needs. • Ensure our data architecture is robust, efficient, and adaptable to new technologies and business requirements. • Data Governance & Operations: • Oversee data governance and data operations to ensure high data quality, reliability, and compliance with data privacy regulations. • Implement best practices for data management, including data ingestion, storage, processing, and security. • Operational Excellence: • Streamline data operations to support real-time data processing, analytics, and reporting needs. • Enhance operational workflows for data monitoring, incident management, and performance optimization. • Team Development & Mentorship: • Mentor and manage the data engineering and operations teams, fostering professional growth and building a cohesive unit. • Recruit and retain top talent to support our ambitious data goals. • Cross-functional collaboration: • Partner with product, engineering, AI/ML, and other departments to ensure data strategies and operations support overall business objectives. • Serve as a critical stakeholder in defining product and technology roadmaps. • Innovation & Continuous Learning: • Stay current on emerging data technologies, methodologies, and industry trends. • Advocate for adopting new tools and technologies to enhance our data capabilities and competitive edge.

Requirements

• Bachelor’s or Master’s in Computer Science, Data Science, Information Systems, or a related field. • Minimum of 10 years' experience in data engineering, with at least 4 years in a leadership role overseeing data engineering and data operations. • Proven experience in designing, implementing, and managing scalable data infrastructures and operations in a cloud environment (AWS, GCP, Azure). • Deep understanding of data governance, data quality management, and data security practices. • Experience with big data technologies (Hadoop, Spark), data pipeline and workflow management tools (Airflow, Kafka), and modern data storage solutions. • Proficiency in SQL, Python, or Scala, and familiarity with front-end technologies (JavaScript) for data visualization. • Demonstrated leadership skills with the ability to mentor, motivate, and lead teams toward achieving strategic objectives. • Strong analytical, problem-solving, and project management skills. • Excellent communication skills, capable of effectively articulating technical concepts to non-technical stakeholders.