EMJobs
RoleSuite
CompaniesRemoteAboutMethodologyContactPrivacy
Updated 2026-06-11 14:00 UTC·© 2025–2026 RoleSuite
← Back to listings

Senior Data Engineering Manager

Jobgether · US

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineering Manager based in the United States.

This role is a high-impact leadership opportunity at the center of large-scale data systems powering investment research and analytics for the disruptive economy. You will lead a team responsible for transforming massive, complex alternative datasets into production-grade data products used by analysts, enterprise clients, and internal applications. The position combines hands-on technical leadership with strategic ownership of architecture, delivery, and data reliability. You will operate in a fast-paced, high-ownership environment where speed, precision, and scalability are critical. The role requires close collaboration across product, research, and engineering teams to translate business needs into robust data infrastructure. It is ideal for a leader who thrives in ambiguity, drives technical excellence, and enjoys building systems that directly influence high-stakes decision-making.

Accountabilities:

  • Lead and develop a global data engineering team, providing hands-on technical guidance while overseeing architecture, design, and delivery of large-scale data systems.
  • Own end-to-end data pipelines, production datasets, and analytical models supporting investment research workflows and customer-facing data products.
  • Build and maintain scalable, reliable data infrastructure using tools such as Databricks, Airflow, SQL, and PySpark.
  • Oversee the development of customer-facing data feeds, ensuring accuracy, timeliness, reliability, and consistency across delivery channels.
  • Design and implement data quality frameworks, including validation checks, monitoring systems, anomaly detection, and automated QA processes.
  • Collaborate cross-functionally with product, research, engineering, client success, and operations teams to align data solutions with business needs.
  • Drive operational excellence across incident management, observability, documentation, and production support.
  • Use AI-assisted development tools to accelerate engineering output, improve code quality, and enhance team productivity.
  • Translate complex data and business requirements into clear technical execution plans and scalable architectures.
  • Requirements

    • 8+ years of experience in data engineering, data architecture, or large-scale data systems development.
    • 2+ years of experience in a managerial or technical leadership role within data engineering teams.
    • Strong hands-on expertise with SQL, PySpark, Databricks, and Airflow or equivalent data processing and orchestration tools.
    • Proven experience building and scaling production-grade data pipelines, datasets, or data products.
    • Deep understanding of distributed data systems, data modeling, pipeline architecture, and data quality best practices.
    • Experience delivering customer-facing data products or external data feeds with high reliability expectations.
    • Strong leadership, mentoring, and stakeholder management skills across technical and non-technical teams.
    • Ability to operate effectively in fast-paced, ambiguous environments with strong ownership and execution focus.
    • Strong communication skills with experience collaborating across product, research, operations, and engineering functions.
    • Benefits

      • Competitive compensation including base salary, bonus, and equity
      • Flexible remote work within the United States
      • Comprehensive benefits package including healthcare and wellness support
      • 401(k) matching and parental leave
      • Flexible vacation and work-life balance policies
      • Learning and development reimbursement programs
      • High-impact, ownership-driven culture focused on rapid growth and career acceleration
      • Opportunity to work on large-scale, high-value data systems powering global investment decisions.

Eng Management pay context

Based on 712 disclosed Eng Management salaries on RoleSuite, the role pays a median of $216K/year, with most offers between $178K and $254K (10th–90th percentile: $157K–$312K).

See the full Eng Management salary breakdown →
Apply →

Other roles at Jobgether

  • Industry Product Marketing ManagerUS
  • Professional Services ManagerIndia
  • Sales EngineerUS
  • Senior DevOps Engineer – IAM & ZTNAIndia
  • Senior Medical Writer & Evidence AnalystIndia
  • Workday Payroll & HCM DeveloperIndia
  • Technical Customer Success Manager - Enterprise / Commercial SegmentsIndia
  • VP, Revenue OperationsUS
  • Strategic Workforce Planning ExpertIndia
  • Program Financial Analyst - SupervisorUS

More Eng Management roles

  • [Tribo da Controladoria] Software Engineering Manager IStone Co · Sao Paulo, Sao Paulo, Brasil
  • Engineering Manager Via · New York
  • Software Engineer Manager II, Firmware Laptops and TabletsGoogle · Boulder, CO, USA
  • Software Engineering Manager, Device Software EngineeringGoogle · New Taipei, Banqiao District, New Taipei City, Taiwan
  • Manager, EngineeringOkta · Bengaluru, India
  • Engineering Manager, FDE Infrastructure (Middle East)Cohere · Middle East
  • Software Engineer Manager - Home EnergyApple · Cupertino
  • Software Engineering ManagerWells Fargo · Hyderabad, India
  • Engineering ManagerThermo Fisher Scientific · Bangalore, India
  • Senior Director of Software Engineering - Marketing Technology, ITCNike · Karnataka, India