Jobgether

Compensation

Full Description

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. Competitive annual salary range: $202,000 – $270,200 USD, plus potential bonus and equity. Flexible work hours, remote options, and support for autonomous work. Comprehensive health, dental, and vision coverage for employees and dependents. 401k match, financial planning tools, and wellness benefits. Parental leave, fertility services support, surrogacy and adoption reimbursement, and on-demand maternity support. Learning and development programs, leadership training, and career growth opportunities. Inclusive and diverse work environment that values individuality and encourages applicants from underrepresented groups. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1