We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Engineering Manager, Data (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineering Manager, Data in United States.. We are seeking a Senior Engineering Manager to lead and grow a team of talented software engineers focused on building and optimizing a high-performance data platform. This role combines technical expertise and leadership to drive architecture, strategic initiatives, and operational excellence across large-scale, complex, and highly available data environments. You will guide the design, development, and delivery of real-time and batch data pipelines, advanced analytics solutions, and cloud-based data infrastructure. The ideal candidate is a proven technical leader who can mentor engineers, foster innovation, and collaborate across teams to ensure scalable, reliable, and high-quality data solutions. This is an opportunity to shape the organization’s data strategy and make a lasting impact on product and business outcomes.. . Accountabilities. . Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, accountability, and continuous improvement.. . Define and execute the roadmap for the data platform in collaboration with product management, architects, and other engineering leaders.. . Contribute to the architectural vision, ensuring high availability, scalability, fault tolerance, and security of data systems.. . Provide technical guidance on complex data engineering challenges, including data ingestion, transformation, warehousing, and analytics.. . Establish and enforce best practices for software development, data governance, and data quality, promoting Agile/Scrum methodologies.. . Collaborate with cross-functional teams to understand data needs and deliver effective solutions.. . Oversee operational health of the data platform, including monitoring, alerting, on-call responsibilities, and incident response.. . . . 10+ years of industry experience with at least 4+ years managing multiple engineering teams in large-scale, complex environments.. . Proven track record of leading, mentoring, and growing high-performing engineering teams.. . Strong background in data architecture, design patterns, reliability, and scaling of complex data systems.. . Hands-on experience with real-time and batch data pipelines and technologies such as Snowflake, Athena, ClickHouse, Flink, Kafka, and Airflow.. . Proficiency with big data tools like Spark, Python, DBT, SQL, and Snowpark for advanced analytics workloads.. . Familiarity with Generative AI applications in data workflows and quality/transformation tools.. . Experience with CI/CD, observability, monitoring platforms, and operational metrics reporting.. . Knowledge of shift-left data governance principles, metadata management, and data catalogs.. . Strong communication, collaboration, and cross-functional leadership skills.. . Experience with cloud infrastructure (Azure, AWS, or GCP).. . B.S., M.S., or PhD in Computer Science or a related field, or equivalent experience.. . . Company Location: United States.