Senior Data Engineer, Lambda

• Have a technical bachelor’s degree (computer science, information technology, analytics, or similar) that equips you to intersect business intuition with technical skills
• Have 5+ years of experience in Data Engineer, Software Engineer, Analytics Engineer or Sr Data Analyst roles
• Are interested in being part of a small super-versatile data team that does data engineering, data analysis, and data science at executive, system and project levels
• Are willing to roll up your sleeves and do architecture or data janitorial work that can have significant business impact
• Are highly proficient in SQL and experience working with large-scale relational databases (e.g., PostgreSQL, MySQL, etc.)
• Have extensive experience with cloud data platforms (AWS, GCP, Azure) and related services such as S3, IAM, Redshift, BigQuery, etc
• Have intermediate to advanced experience in Python or similar programming languages
• Have experience with data orchestration tools like Apache Airflow, Prefect, or similar
• Are knowledgeable in data modeling, database design, and performance optimization techniques
• Have a working understanding of data security, privacy, and compliance requirements
• Show a proven ability to work in a fast-paced, agile environment and manage multiple projects simultaneously
• Experience with data modeling in DBT (Data Build Tool)
• Knowledge of data visualization tools and BI platforms (e.g., Tableau, Looker, Power BI)
• Experience with CICD build tools (gitlab CICD, github actions, jenkins or similar)
• General cloud computing proficiency, such as knowledge of compute resources, databases, disk, networking, logging, alerting etc as it pertains to clouds, such as AWS and GCP
• Experience in iPaaS tools (e.g. Workato, Zapier, Celigo or similar)

Desirable

• Join our team as a Senior Data Engineer, where you will collaborate with a small high-performing team of Analytics Engineers and Data Engineers to design data pipelines, a data warehouse, an automated data catalog and internal tools
• Your output will directly power product analytics, marketing, supply chain, investor relations, and many more
• You will have the opportunity to design and implement best practices while working directly with stakeholders
• This position reports to the Data Platform Manager
• Data Pipeline Development: Design, build, and maintain scalable, robust, and efficient data pipelines (ELT) to process large volumes of structured and unstructured data from multiple sources
• Support Business Teams: Use your familiarity with areas such as GTM (Salesforce, Marketing, CRM), Finance and Product to support stakeholder requests and design internal tools that support business processes
• Data Architecture: You’ll work with product engineers and system admins to design, document, and build data flows and infrastructure. You will also be a technical subject matter expert and recommend patterns to fix data gaps and ensure data quality
• Data Warehousing: Design and manage data warehouses and data lakes, ensuring optimal storage, governance, cataloging, data lifecycle and retrieval performance
• Data Quality & Reliability: Ensure the accuracy and consistency of data across multiple systems, performing regular data quality assessments. Implement testing, CICD and IT General Controls to ensure security and reliability of data flows
• Collaboration: Work closely with business leaders, analysts, and other stakeholders to understand data requirements and deliver appropriate solutions. This will include participating early in product-design discussions, and staying involved with teams across the company
• Automation & Optimization: Automate manual data processes and continuously optimize data workflows for performance, cost efficiency, and scalability
• Technology Evaluation: Stay up-to-date with the latest industry trends, tools, and technologies to improve data engineering practices and infrastructure
• Mentorship: Provide technical leadership and mentorship to junior data engineers, analysts, and business users, sharing best practices and fostering a collaborative team environment