United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Database Engineering in the United States.
In this role, you will lead a high-performing database engineering team responsible for the reliability, scalability, and performance of mission-critical database systems. You will define the long-term vision for database engineering while ensuring operational excellence in day-to-day activities. Partnering with product, infrastructure, and data teams, you will set standards for database design, drive automation, and solve complex scaling challenges. This position offers the opportunity to shape database strategy, mentor engineers, and enable developers across the organization to work more effectively with data in a fast-paced, innovative environment.
Accountabilities:
- Lead, mentor, and grow a team of database engineers, fostering technical excellence and collaboration.
- Define and execute the roadmap for database infrastructure to support growth and scalability.
- Partner with application and data engineering teams to establish standards for database design, schema governance, and query optimization.
- Drive initiatives to improve database performance, availability, and security across production and non-production environments.
- Champion automation and tooling to reduce operational overhead and enhance developer self-service.
- Provide strategic guidance to engineering leadership on database architecture, scaling, and cost efficiency.
- Monitor database health and performance metrics, identifying areas for optimization and proactive intervention.
Requirements
- 8+ years of experience in database engineering or DBA roles, with at least 3 years of people management experience.
- Deep expertise in Postgres, including extensions, replication, and performance tuning.
- Experience designing and supporting high-volume OLTP systems.
- Strong knowledge of AWS services (RDS, EC2, IAM, VPC, S3) and infrastructure automation.
- Proficiency with Python or another scripting language for database automation and tooling.
- Strong communication skills and proven ability to collaborate across engineering, product, and operations teams.
- Preferred: experience with Clickhouse, distributed databases, cloud scalability solutions, or financial services/fintech environments.
Benefits
- Competitive compensation (base + bonus & equity).
- Comprehensive medical, dental, and vision coverage with Health Savings Account contributions.
- 401(k) with 100% company match up to $4,500 and immediate vesting, including after-tax savings.
- Employee Stock Purchase Plan (ESPP).
- Life and disability insurance.
- Generous holiday, vacation, sick, and safety leave.
- Supportive parental, family care, and military leave programs.
- Annual wellness, technology, and ergonomic reimbursement programs.
- Social and team activities, including on-site events, ERGs, and interest groups.
- On-site catered lunches, snacks, and drinks where applicable.
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 three 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 assessments) are then made by their internal hiring team.
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