Data Engineering Manager

November 3

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UPSTACK

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colocation • network • private cloud • public cloud • hybrid cloud

201 - 500

Description

• Launched in 2017 in New York, N.Y., UPSTACK is transforming the infrastructure is sourced and sold. • The Manager, Data Engineering will provide technical and people leadership to the UPSTACK Data Engineering Team and will contribute to and help oversee the design, development, delivery, quality assurance, and maintenance of scalable data platform solutions. • The manager will also focus on mentoring and developing team members, fostering a culture of continuous improvement while promoting collaboration and innovation within data engineering practices. • Reporting to the VP, Engineering, the Manager, Data Engineering will be responsible for supporting recruitment, coaching, development, and managing the data engineering team.

Requirements

• Authorized to work in the U.S. and available to support East Coast business hours. • 1-3 years of people management experience. • 4-5 years of data engineering experience. • Strong Technical Expertise : High proficiency in Python and SQL with solid experience in Postgres, Dataiku, dbt, and Fivetran (or similar relational database, ETL, and data science tools), enabling effective oversight of data pipeline development, ETL processes, and data warehousing solutions. • Data Engineering and Analytics : In-depth knowledge of data engineering principles, including data modeling, data integration, and analytics, ensuring robust data architecture that meets the needs of various stakeholders and supports real-time data-driven decision-making. • Agile Methodology Proficiency : Experience working in agile development environments, capable of guiding data engineering teams through agile processes, managing sprints, and ensuring timely delivery of scalable and reliable data solutions. • Leadership and Mentoring : Proven ability to lead and mentor an engineering team, providing coaching and feedback to support professional growth, while fostering a collaborative and innovative team culture that emphasizes solution quality and continuous improvement. • Problem-Solving : Ability to help evaluate options and make informed technical recommendations in alignment with bigger-picture goals. • Collaborative and Supportive: Works well with others, actively contributing to team goals and supporting teammates. • Effective and Adaptable Communicator: Clearly explains technical concepts to all audiences, quickly adapts to new information, and evaluates trade-offs. • Confident, Humble, and Accountable: Demonstrates expertise with confidence and humility, taking full ownership and responsibility for work. • Critical and Self-Aware Thinker: Advocates for sound ideas, remains open to new perspectives, and identifies underlying assumptions. • Recruitment and Team Development: Successfully build and maintain a high-performing data team. • Technical Execution and Oversight: Successfully oversee and contribute to the technical execution of data integration and automation workflows using tools like Postgres, Fivetran, dbt, and Dataiku; ensuring that data pipelines are efficient, scalable, secure, easily maintainable and that solutions both adhere to best practices and architectural standards while meeting analytics and reporting needs.