Staff Database Engineer (DBA)

Company Overview (Who are we Why should you join us )

At ecoATM the proof of our success is in our staggering growth, extraordinary impact on protecting the planet, and providing a work culture unlike any other. We are a technology company and a pioneer of device re-commerce. Through our 7,000 automated kiosks and online marketplace Gazelle.com, we enable people all over the world to join the mobile device re-use revolution, a revolution that will get billions of used smartphones out of the e-waste cycle and into the hands of people who dont have affordable access to the empowerment of the latest mobile technology.

At ecoATM we know our employees are our greatest strength and the key to our continued growth and success. When you join our team, you will enjoy more than just a job, you will be empowered to develop and utilize your unique talents and skills to build a rewarding career while making a lasting, positive impact on the planet.

Our Values and Leadership Behaviors

The Staff Database Engineer is a senior technical leader reporting to the Director, Business Intelligence. They will be responsible for architecting, optimizing, and scaling the organizations mission critical database systems. This role drives complex technical initiatives, leads cross team architectural efforts, and ensures the long term reliability, performance, and integrity of data platforms. The ideal candidate combines deep technical expertise with strong systems thinking, broad cross-functional influence, and the ability to deliver durable, high impact solutions in a fastmoving environment.

Key Responsibilities

Database Architecture & Design

Design and evolve scalable, highly available database architectures for transactional and analytical systems.

Define long-term data storage, access, and modeling strategies aligned with business growth.

Lead evaluations of new database technologies, patterns, and cloud capabilities.

Performance Engineering & Optimization

Diagnose complex database performance issues and design solutions involving schema design, indexing strategies, query optimization, caching, and architectural refactoring.

Conduct end-to-end tuning of high-volume workloads across services and data flows.

Establish performance baselines, monitoring standards, and proactive optimization strategies.

Reliability, Scalability & Operations

Own the reliability and scalability posture of database systems across multiple products and services.

Define and implement robust backup, restoration, high availability, and disaster recovery strategies.

Partner with SRE and platform teams to improve observability, automation, and operational efficiency.

Data Governance, Security & Quality

Ensure compliance with data governance practices, security standards, and audit requirements.

Implement and maintain access control strategies, encryption policies, and data integrity safeguards.

Establish data modeling standards and best practices for teams across the organization.

Cross Team Leadership & Influence

Lead architectural discussions, design reviews, and technical decision-making across engineering teams.

Guide teams through modernization efforts such as migrations, schema redesigns, and system decompositions.

Mentor engineers of all levels and elevate database excellence across the organization.

Automation & Tooling

Develop automation for deployment, maintenance, provisioning, and operational workflows.

Build internal tools that improve developer experience, reduce manual DBA workload, and standardize processes.

QualificationsRequired

8+ years of experience in database engineering, data architecture, or related technical roles.

Deep expertise with relational database systems (e.g., PostgreSQL, MySQL, Aurora, SQL Server).

Strong proficiency in SQL, performance tuning, indexing strategies, and query optimization.

Proven experience designing and scaling high throughput, mission critical production systems.

Extensive experience with backup/recovery strategies, HA/replication patterns, and disaster recovery.

Ability to diagnose complex system interactions across applications, networks, and databases.

Strong scripting/automation experience (Python, Bash, PowerShell, etc.).

Excellent communication and cross team collaboration skills.

Preferred

Experience with distributed databases or cloud native data platforms (AWS RDS/Aurora, DynamoDB, BigQuery, Snowflake, etc.).

Familiarity with microservices architectures, event driven systems, or streaming technologies.

Background in data modeling, data governance, or enterprise architecture.

Prior leadership in modernization initiatives or largescale migrations.

What Success Looks Like .