Data Engineering Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and develop a streamlined data engineering team.

• Construct and expand an AI-ready data infrastructure for analytics, operational reporting, governance, enterprise integrations, and AI projects.

• Take ownership of the Data Governance & Accessibility program.

• Act as the managerial and architectural authority for scalable data systems and dependable pipelines.

• Conduct one-on-one meetings, set objectives, provide performance evaluations, and oversee career advancement.

• Guide engineers in best practices for data engineering, design methodologies, testing, and operational discipline.

• Propel execution, manage team productivity, eliminate bottlenecks, and ensure operational sustainability.

• Facilitate planning sessions, daily standups, prioritization, and retrospectives.

• Collaborate with analysts and business executives to convert requirements into incremental stories.

• Serve as the primary technical liaison for analytics and business stakeholders.

• Communicate project roadmaps, risks, delays, and progress in a transparent manner.

• Simplify technical concepts for business audiences.

• Direct the design and scaling of the Snowflake platform, ingestion architecture, and AI interface layers.

• Oversee the ingestion of data from enterprise systems into a unified source of truth.

• Set standards for data governance and observability.

• Audit the data ecosystem and assess cloud expenditures, reliability, transformations, data quality, and AI preparedness.

• Define engineering standards and implement enhancements for pipeline reliability.

• Draft and present recommendations for modernized data architecture.

• Establish governance for self-service analytics.

• Implement the initial phase of the approved architecture and deliver production-ready pipelines along with documented datasets.

• Cultivate a high-performing engineering culture and position data engineering as a strategic facilitator for AI and data initiatives.

⛳️ Requirements

• Demonstrated experience in building brands, developing scalable systems, and achieving measurable marketing results.

• Proficient in people management, including conducting one-on-ones, performance evaluations, and career development.

• Familiar with best practices in data engineering, design patterns, testing strategies, and operational discipline.

• Capable of facilitating agile planning, daily standups, retrospectives, and prioritization.

• Skilled in translating business requirements into well-defined, incremental stories.

• Experienced in designing and scaling Snowflake-based data platforms, ingestion architectures, and AI interface layers.

• Knowledgeable in overseeing integrations with Salesforce, HubSpot, NetSuite, Zendesk, Jira, and Confluence.

• Understanding of data ownership, access management, lineage visibility, testing/validation, and automated pipeline monitoring.

• Proficient with Snowflake, Fivetran, dbt, and Looker.

• Ability to work remotely from anywhere in the United States.

🏝️ Benefits

• Opportunities for professional development.

• Incentive stock options (ISOs).

• Comprehensive medical insurance.

• Dental insurance.

• Vision insurance.

• Flexible paid time off (PTO).

• 401(k) matching program.

• Volunteer time off.

• Access to Employee Resource Groups.

• Generous professional development program with dedicated annual time for learning and growth.

• Hands-on AI training with clear guidelines for responsible experimentation.

• Remote-first work environment.

• Company-wide in-person gatherings several times a year.

• Up to 15 days of travel annually; senior management and leadership teams may require up to 35 days.