Sr. Manager, Data Engineering (100% Remote, United States)

Job-ID32839202Reference26-00552Remote100% Remote a { text-decoration: none; } tr th, tr td { } tr th { } Senior Manager, Data Engineeringð Remote (U.S.-Based)About the OpportunityOur client is seeking an experienced Senior Manager, Data Engineering to lead a high-performing team responsible for building and scaling modern data platforms and analytics infrastructure. This role combines people leadership, technical strategy, and cross-functional collaboration to drive the development of reliable, scalable, and cost-efficient data solutions.The ideal candidate is a hands-on engineering leader with deep expertise in cloud data platforms, data architecture, and team development. You will play a key role in shaping data strategy, improving engineering excellence, and enabling data-driven business decisions across the organization.What You'll DoLeadership & Team DevelopmentLead, mentor, and develop a team of talented data engineers.Foster a culture of technical excellence, ownership, collaboration, and continuous learning.Manage performance, career growth, and team development initiatives.Oversee on-call processes and improve operational efficiency through automation and self-service solutions.Data Engineering Strategy & ArchitectureDefine and execute the vision for scalable, secure, and high-performing data platforms.Drive architecture decisions for data lakehouse environments, data modeling standards, governance, and access controls.Optimize data platform performance, reliability, and cost efficiency.Establish and promote engineering best practices including CI/CD, testing, code reviews, monitoring, and incident response.Champion strong technical documentation and knowledge-sharing practices.Roadmap & DeliveryOwn the team's roadmap and strategic priorities.Lead capacity planning, project execution, and resource allocation.Remove delivery obstacles, identify risks proactively, and ensure successful project outcomes.Align engineering initiatives with broader business objectives.Cross-Functional PartnershipCollaborate closely with Product, Engineering, Analytics, and business stakeholders.Translate business requirements into scalable data solutions.Communicate progress, challenges, and key performance indicators to senior leadership.Drive alignment across teams while supporting organizational goals and priorities.Talent AcquisitionSupport hiring efforts by defining role requirements, interviewing candidates, and building a strong engineering organization.What We're Looking ForRequired QualificationsBachelor's degree in Computer Science, Engineering, or equivalent practical experience.7+ years of experience building and scaling engineering teams and delivering high-quality data solutions.3+ years of direct people management experience.Proven experience managing large-scale production data pipelines.Strong experience with Apache Airflow and data orchestration best practices.Deep expertise with Snowflake or comparable cloud data warehouse technologies such as Redshift or BigQuery.Advanced SQL skills and proficiency in Python or another scripting language.Experience collaborating with cross-functional stakeholders and business leaders.Strong understanding of data governance, data quality, lineage, and operational excellence.Experience working within regulated or compliance-sensitive environments.Preferred QualificationsExperience with modern data stack technologies such as dbt, Fivetran, Airbyte, Kafka, or similar platforms.Experience driving cloud-based data transformation initiatives.Strong strategic thinking and organizational leadership skills.

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