Engineering Manager, Verve

• 5+ years of experience working as a Data/DWH Engineer in industry is a must, where you have gained hands-on experience delivering DWH/OLAP solutions
• 3+ years of experience leading a small team of highly productive engineers
• First experiences in managing individual contributors
• Proven experience in owning the products and driving them to the end, all the way from gathering requirements, development, testing, and deployment to ensuring high availability post-deployment
• OLAP engine (preferably Vertica, BigQuery), MPP engines(e.g Trino/Presto, Impala, ClickHouse), SQL (understanding plans, troubleshooting, window functions)
• Bachelor's degree in Computer Science or relevant field
• Cloud platforms: preferably GCP
• Programming languages: Python and/or JVM

Desirable

• Join our Data Analytics team at Verve, where you'll oversee the architecture supporting our ad exchanges' data, processing millions of requests per second at terabyte scale
• You’ll ensure low-latency, cost-efficient data access and support engaging UI/UX experiences for BI, analytics, and data science applications
• Key responsibilities include feature development, performance tuning, and maintaining platform stability
• Our mission is to enable "data-driven decisions at your fingertips," and you’ll play a pivotal role in providing the system for all business decisions
• This hands-on role (70% engineering, 30% management) reports to the VP of Data Intelligence Platforms
• You'll drive technology advancements while leading and mentoring your team
• This role is 70% hands on, enhancing and supporting data pipeline and analytics components
• Lead and manage a team of on-site and remote engineers
• Do performance reviews
• Define team charter, budgets, and hiring plan
• In this role, your main focus would be around data warehouses to provide users efficient insights into our ad tech platform
• Ensure efficient and flexible data schema
• Ensure engine performance and reliability
• Efficient SQL-based transformations
• Cost-efficient analytical solutions
• Writing simple, understandable, testable, and efficient code with a focus on solid technical stability and great user experience
• Ensuring compliance with industry standards and regulations in terms of security, and data privacy applied in the data processing layer
• Defining and implementing security measures according to best practices
• Work closely with product and reporting teams to provide accurate on-time and organize fast and easy access to them
• Design end-to-end DWH solutions, working closely with the data processing and data science engineering teams
• Ability to articulate business requirements and bridge the gap between development teams and stakeholders
• Ability to present business and technical issues, ideas, and recommendations in verbal, written, and presentation formats using storytelling and logical arguments
• Collaborate with teams across the globe in different time zones
• Extend successful solutions and optimization to sister companies in Verve
• Collaborating with stakeholders to understand project functional requirements and objectives from a data processing perspective