Senior Data Engineering Manager
TLDR
Lead a global data engineering team building large-scale data systems and production data products powering investment research and analytics.
- 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.
- 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.
- 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.
Requirements
Benefits
Benefits
Equity Compensation
Competitive compensation including base salary, bonus, and equity
Health Insurance
Comprehensive benefits package including healthcare and wellness support
Learning Budget
Learning and development reimbursement programs
Large-scale data systems opportunity
Opportunity to work on large-scale, high-value data systems powering global investment decisions.
Paid Parental Leave
401(k) matching and parental leave
Paid Time Off
Flexible vacation and work-life balance policies
Remote-Friendly
Flexible remote work within the United States
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services