Director of Data Engineering

Why Birdeye? In the past, local businesses could entice customers using advertisement and word-of-mouth publicity. However, this has changed today. Modern consumers decide where to spend money based on online reputation and digital experiences. Hence, contemporary companies must provide outstanding experiences that create repeat customers and need a platform that allows for doing this on a massive scale. Local businesses often require assistance dealing with the complexities of managing their marketing and customer experience operations through multiple applications. Their utilization of individual solutions hinders them from gaining valuable customer insights and acting upon them in real time. Birdeye responds to this challenge with its comprehensive reputation and customer experience platform. Over 100,000 local businesses and brands use Birdeye to enhance their online visibility through local listings and reviews, interact with consumers via webchat, text, and social media messaging, facilitate digital payments, and glean insights to enhance customer experience using survey, ticketing, and benchmarking tools. Founded by Naveen and Neeraj Gupta in 2012, Birdeye is the leading comprehensive platform trusted by more than 100,000 businesses to manage their online reputation, connect with customers, and generate insights. Birdeye is headquartered in Palo Alto, CA, and is supported by investors such as Marc Benioff, Jerry Yang, and Accel-KKR. Learn more at birdeye.com. Requirements Position Overview: As the Director of Data Engineering at Birdeye, you will be a strategic leader in charge of guiding and overseeing the data infrastructure, architecture, and engineering processes. Working alongside a team of skilled data and BI engineers, you will collaborate closely with cross-functional teams and play an instrumental role in enabling data-driven decision-making throughout the organization. The ideal candidate will have a deep understanding of data management best practices, possess technical expertise, and demonstrate leadership acumen. Responsibilities: Strategic Leadership: - Develop and communicate a data engineering strategy that takes advantage of the capabilities of Snowflake and Tableau to support business objectives. - Foster a culture of innovation, collaboration, and excellence within the data engineering team. Team Management: - Build, mentor, and manage a high-performing data engineering team with expertise in Snowflake and Tableau. - Set clear expectations, provide feedback regularly, and evaluate team performance against set goals. Data Infrastructure and Architecture: - Architect, implement, and optimize data pipelines, ETL processes, and integrate data solutions using Snowflake's cloud data platform. - Collaborate with data scientists, analysts, and stakeholders to ensure the availability of high-quality, structured data for analysis and reporting in Tableau. Snowflake and Tableau Expertise: - Serve as the resident expert on Snowflake and Tableau, providing guidance on best practices, optimizations, and advanced functions. - Design and maintain Snowflake databases, warehouses, and data models for optimal scalability and performance. Collaboration and Integration: - Partner with business units, data scientists, and analysts to comprehend data requirements and design solutions that align with organizational goals. - Ensure effective integration between Snowflake and Tableau to enable easy data access and visualization. Data Governance and Compliance: - Establish and enforce data governance standards for data quality, security, and compliance with industry regulations. - Monitor and manage data access, permissions, and auditing within Snowflake and Tableau environments. Project Management: - Lead end-to-end data engineering projects involving Snowflake and Tableau, from inception to deployment, and monitoring. - Prioritize tasks, allocate resources, and ensure timely project completion. Performance Monitoring and Optimization: - Monitor Snowflake and Tableau environments' performance, identifying provisions for optimization and efficiency improvement. - Implement strategies to enhance query performance, reduce data processing time, and optimize resource utilization. Qualifications: - Bachelor's or advanced degree in Computer Science, Engineering, Data Science, or a related field. - Over four years of experience in data engineering with a proven track record of successful data projects involving Snowflake and Tableau. - Strong leadership skills with experience managing and developing teams of data engineers. - Expertise in Snowflake's cloud data platform, including data warehousing, database design, and SQL optimization. - Proficiency in Tableau, able to design and develop interactive visualizations and dashboards. - Proficiency in programming languages such as Python, Java, Scala, or similar. - Excellent problem-solving skills with an ability to adapt to changing business requirements. - Strong communication skills with the ability to liaise effectively with technical and non-technical stakeholders. - Experience with data governance, security, and compliance practices is preferred. Join our dynamic team and lead the charge in leveraging data as a strategic asset. As the Director of Data Engineering, you will play a vital role in shaping our data-driven future and driving innovation across the organization. Job Responsibilities