Data Engineering Manager

Summary At Storable , we're on a mission to power the future of storage. Our innovative platform helps businesses manage, track, and grow their self-storage operations, and we’re looking for a Data Manager to join our data-driven team. Storable is committed to leveraging cutting-edge technologies to improve the efficiency, accessibility, and insights derived from data, empowering our team to make smarter decisions and foster impactful growth. As a Data Manager, you will play a pivotal role in overseeing and shaping our data operations, ensuring that our data is organized, accessible, and effectively managed across the organization. You will lead a talented team, work closely with cross-functional teams, and drive the development of strategies to enhance data quality, availability, and security. Key Responsibilities: Lead Data Management Strategy: Define and execute the data management vision, strategy, and best practices, ensuring alignment with Storable's business goals and objectives. Oversee Data Pipelines: Design, implement, and maintain scalable data pipelines using industry-standard tools to efficiently process and manage large-scale datasets. Ensure Data Quality Governance: Implement data governance policies and frameworks to ensure data accuracy, consistency, and compliance across the organization. ETL Development : Build, optimize, and maintain ETL pipelines for ingesting, transforming, and delivering large datasets from multiple sources. Workflow Orchestration : Manage and schedule complex workflows using Apache Airflow . Query Engines Processing Frameworks : Leverage Trino (Presto), Apache Spark, and other Manage Cross-Functional Collaboration: Partner with engineering, product, and business teams to make data accessible and actionable, and ensure it drives informed decision-making. Optimize Data Infrastructure: Leverage modern data tools and platforms (e.g., AWS, Apache Airflow, Apache Iceberg ) to create an efficient, reliable, and scalable data infrastructure. Monitor Improve Performance: Proactively monitor data processes and workflows, troubleshoot issues, and optimize performance to ensure high reliability and data integrity. Mentorship Leadership: Lead and develop a team of data engineers and analysts, fostering a collaborative environment where innovation and continuous improvement are valued. Qualifications: Proven Expertise in Data Management: Significant experience in managing data infrastructure, data governance, and optimizing data pipelines at scale. Technical Proficiency: Strong hands-on experience with data tools and platforms such as Apache Airflow, Apache Iceberg, and AWS services (S3, Lambda, Redshift, Glue, Athena) . Data Pipeline Mastery: Familiarity with designing, implementing, and optimizing data pipelines and workflows in Python or other languages for data processing. Hands-on experience with Trino/Presto and Apache Spark for distributed data processing. Solid understanding of data modeling, warehousing concepts, and schema design . Experience with Data Governance: Solid understanding of data privacy, quality control, and governance best practices. Leadership Skills: Ability to lead and mentor teams, influence stakeholders, and drive data initiatives across the organization. Analytical Mindset: Strong problem-solving abilities and a data-driven approach to improving business operations. Excellent Communication: Ability to communicate complex data concepts to both technical and non-technical stakeholders effectively. Bonus Points: Experience with visualization tools (e.g., Looker, Tableau ) and reporting frameworks to provide actionable insights. Why Storable? Cutting-Edge Technology: Work with the latest tools and technologies to solve complex data challenges. Impactful Work: Join a dynamic and growing company where your work directly contributes to shaping the future of the storage industry. Collaborative Culture: Be part ... (truncated, view full listing at source)