📍 Job Overview

Job Title: Database Engineering Manager
Company: 3E
Location: Canton, Ohio, United States & Bethesda, Maryland, United States
Job Type: Full-time
Category: Database Engineering & Management
Date Posted: 2025-07-02
Experience Level: 5-10 years
Remote Status: Remote OK (Eastern Time Zone preferred)

🚀 Role Summary

Transformative Leader: Drive global database management strategy, aligning people, processes, and platforms to enable intelligent data management and real-time decision-making.
AI-First Visionary: Champion AI/ML adoption in database optimization, automation, and intelligent workflows to power 3E's AI-first future.
Cross-Functional Collaborator: Partner with business functions to ensure database engineering aligns with enterprise-wide priorities and delivers value across the organization.
Operational Excellence: Oversee day-to-day database engineering, ensuring high uptime, performance, and data security while maintaining clear SLAs and escalation processes.

📝 Enhancement Note: This role requires a strategic leader who can balance technical vision with operational execution, fostering a culture of innovation, continuous learning, and cross-functional collaboration.

💻 Primary Responsibilities

🔒 Database Operations & Service Management

Global Database Administration: Oversee global database administration to ensure uptime, performance, and data security across SQL Server, Oracle, PostgreSQL, and MongoDB environments.
Observability & Transparency: Implement observability frameworks, including dashboards, alerts, and anomaly detection, to support service reliability and transparency.
Service Level Management: Maintain SLAs, SLOs, and clear escalation processes to support operational excellence and meet business expectations.

🌟 Operational Leadership

Database Engineering: Manage day-to-day database engineering tasks, including performance tuning, backups, disaster recovery, and new solution design.
Enterprise Alignment: Align database operations with organizational technology priorities and enterprise-wide standards, ensuring consistency and scalability.

🤖 AI-First Database Transformation

AI/ML Champion: Lead the adoption of AI/ML in database optimization, automation, anomaly detection, and intelligent workflows to improve operational efficiency and effectiveness.
Proactive & Data-Driven: Promote a proactive, data-driven approach to operations, leveraging continuous learning and innovation to stay ahead of emerging trends and challenges.

📈 Execution & Delivery Management

Global Database Transformation: Lead the end-to-end execution of a global database transformation roadmap, overseeing engineering strategy, cloud-native modernization, platform migration, and data governance.
Hands-On Ownership: Take hands-on ownership of escalations, fostering a culture of urgency, accountability, and learning to drive operational excellence.

📊 Agile & Lean Governance

Agile Methodologies: Apply agile methodologies, OKRs, and lean practices to drive delivery, transparency, and continuous improvement in database operations.
Performance Monitoring: Monitor KPIs like uptime, latency, and capacity utilization to guide operational decisions and ensure optimal resource allocation.

💰 Process & Cost Optimization

Standardization: Standardize operations through documentation, SOPs, and automation frameworks to improve efficiency and reduce manual effort.
Cloud Optimization: Drive efficiency and cost control using cloud optimization tools, forecasting models, and real-time monitoring to maximize resource utilization and minimize waste.

🤝 Cross-Functional Partnership

Strategic Partner: Act as a strategic partner between database engineering and business functions, ensuring alignment across technical initiatives and enterprise-wide priorities.
Transparent Communication: Ensure clear, consistent, and transparent communication to promote understanding, engagement, and adoption of new processes and tools.

🌱 Team Leadership & Development

High-Performing Team: Lead, mentor, and grow a high-performing, globally distributed database team, fostering a psychologically safe, inclusive, and growth-oriented culture.
Feedback & Development: Encourage regular feedback and continuous learning, creating an environment where team members can thrive and develop their skills.

📢 Communication & Change Leadership

Voice of Database Transformation: Serve as the voice of database transformation across the organization, driving understanding, engagement, and adoption of new processes and tools.
Change Management: Implement effective change management strategies to support the successful adoption of new technologies, processes, and workflows.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications (e.g., Microsoft Certified: Azure Database Administrator, Oracle Certified Professional) are a plus.

Experience: At least 5 years of leadership experience in database engineering and administration, with a strong background in managing global teams and complex infrastructure.

Required Skills:

Database Technologies: Proficiency in SQL Server, Oracle, PostgreSQL, MongoDB, and cloud platforms (AWS, Azure, GCP).
Performance Tuning & Optimization: Proven experience in database performance tuning, optimization, and capacity planning.
Disaster Recovery & Business Continuity: Demonstrated expertise in disaster recovery, business continuity, and high-availability solutions.
Automation & Scripting: Strong scripting skills (e.g., PowerShell, Bash, Python) and experience with automation tools (e.g., Ansible, Terraform).
Cloud Platforms: Experience with cloud platforms (AWS, Azure, GCP) and relevant services (e.g., RDS, Azure SQL Database, Cloud Spanner).
Agile Methodologies: Familiarity with agile methodologies, OKRs, and lean practices for driving operational excellence and continuous improvement.

Preferred Skills:

AI/ML Experience: Hands-on experience with AI/ML-powered tuning, anomaly detection, and intelligent data workflows.
Regulated Environments: Exposure to regulated environments or data-intensive industries like SaaS, RegTech, or digital products.
Compliance Standards: Familiarity with compliance standards such as GDPR, SOC 2, or ISO 27001.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Database Management: Demonstrate your ability to manage complex database environments, highlighting your experience with performance tuning, disaster recovery, and automation.
Cloud Migration: Showcase your experience with cloud migration projects, including data migration, schema conversion, and infrastructure as code (IaC) implementation.
AI/ML Integration: Highlight your experience integrating AI/ML models into database workflows, improving performance, and driving operational efficiency.
Team Leadership: Provide examples of your team leadership and mentoring skills, emphasizing your ability to grow and develop high-performing database teams.

Technical Documentation:

Database Design & Architecture: Demonstrate your understanding of database design principles, normalization, and indexing strategies.
Data Governance: Showcase your experience with data governance, including data quality, data lineage, and metadata management.
Disaster Recovery Planning: Provide detailed disaster recovery plans, highlighting your approach to backup strategies, recovery time objectives (RTOs), and recovery point objectives (RPOs).

💵 Compensation & Benefits

Salary Range: The anticipated salary range for this position is $130,000-$150,000 per year. The final offer will depend on several factors, including the successful candidate’s skills, depth of work experience, location, and relevant licenses/qualifications. Each offer is determined based on individual strengths and relevant business considerations.

Benefits:

Health, dental, and vision insurance
Life insurance and disability coverage
Generous PTO accrual and paid parental leave
401(k) plan with company matching
Employee assistance program
Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness)

🎯 Team & Company Context

🏢 Company Culture

Industry: 3E operates in the data management and analytics sector, focusing on workplace safety, chemical management, and sustainability solutions.

Company Size: As a mid-sized company with over 5,000 customers and 15 locations across North America, Europe, and Asia, 3E offers a dynamic and collaborative work environment.

Founded: Established in 1987, 3E has a rich history of innovation and growth, with a strong commitment to enabling a safer, more sustainable world.

Team Structure:

Database Engineering Team: Lead a globally distributed team of database engineers, responsible for day-to-day operations, performance tuning, and automation.
Cross-Functional Collaboration: Work closely with product, content, legal, HR, finance, and support teams to ensure database engineering aligns with enterprise-wide priorities and delivers value across the organization.
Technology Stack: Oversee a diverse technology stack, including SQL Server, Oracle, PostgreSQL, MongoDB, and cloud platforms (AWS, Azure, GCP).

Development Methodology:

Agile & Lean: Apply agile methodologies, OKRs, and lean practices to drive delivery, transparency, and continuous improvement in database operations.
Cloud-Native Modernization: Lead the modernization of 3E's database ecosystem, adopting cloud-native principles and migrating to modern, scalable, and secure database platforms.
Data Governance & Security: Implement robust data governance and security practices, ensuring compliance with relevant regulations and industry standards.

📝 Enhancement Note: 3E's culture values innovation, collaboration, and continuous learning, providing an ideal environment for a strategic database engineering leader to thrive and make a significant impact.

📈 Career & Growth Analysis

Database Engineering Manager Career Level: This role represents a senior leadership position within the database engineering discipline, responsible for driving operational excellence, strategic decision-making, and cross-functional collaboration.

Reporting Structure: Report directly to the CTO, serving as a critical member of the technology leadership team and working closely with other senior leaders to align database engineering with enterprise-wide priorities.

Technical Impact: As the Database Engineering Manager, you will have a significant impact on 3E's AI-first future, driving intelligent data management, automation, and real-time decision-making across the organization.

Growth Opportunities:

Technical Leadership: Develop your technical leadership skills, mentoring team members, and driving operational excellence across the database engineering function.
Architecture & Design: Expand your architectural and design skills, working on complex database projects and contributing to 3E's long-term technology vision.
AI/ML Specialization: Deepen your expertise in AI/ML-powered database optimization, anomaly detection, and intelligent workflows, staying at the forefront of emerging trends and best practices.

📝 Enhancement Note: This role offers significant growth potential, with opportunities to advance your technical leadership skills, expand your architectural and design expertise, and specialize in AI/ML-powered database optimization.

🌐 Work Environment

Office Type: 3E offers a hybrid work environment, with a preference for candidates in the Bethesda, Maryland, or Canton, Ohio, areas. However, remote candidates in the Eastern Time Zone are also welcome to apply.

Office Location(s): 3E has offices in Bethesda, Maryland, and Canton, Ohio, with additional locations across North America, Europe, and Asia.

Workspace Context:

Collaborative Workspace: Enjoy a collaborative workspace, with dedicated areas for team meetings, brainstorming sessions, and social events.
Modern Technology: Utilize modern technology, including high-performance workstations, multiple monitors, and specialized software tools to support your productivity and efficiency.
Cross-Functional Interaction: Interact with cross-functional teams, including product, content, legal, HR, finance, and support, fostering a culture of collaboration and knowledge sharing.

Work Schedule:

Flexible Hours: Enjoy a flexible work schedule, with core hours between 10:00 AM and 3:00 PM Eastern Time.
Project Deadlines: Balance your workload to meet project deadlines and maintain a healthy work-life balance.
Maintenance Windows: Participate in scheduled maintenance windows to ensure optimal database performance and minimal downtime.

📝 Enhancement Note: 3E's work environment encourages collaboration, innovation, and work-life balance, providing a supportive and engaging atmosphere for database engineering professionals to thrive.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your background, experience, and career goals.
Technical Deep Dive: A detailed technical conversation focused on your database engineering and leadership skills, AI/ML experience, and problem-solving approach.
Behavioral & Cultural Fit: An in-depth discussion to assess your cultural fit, communication skills, and alignment with 3E's values and mission.
Final Interview: A meeting with senior leadership to review your qualifications, answer any remaining questions, and make a final hiring decision.

Portfolio Review Tips:

Database Management: Highlight your experience with complex database environments, performance tuning, disaster recovery, and automation.
Cloud Migration: Showcase your experience with cloud migration projects, including data migration, schema conversion, and infrastructure as code (IaC) implementation.
AI/ML Integration: Emphasize your experience integrating AI/ML models into database workflows, improving performance, and driving operational efficiency.
Team Leadership: Provide examples of your team leadership and mentoring skills, emphasizing your ability to grow and develop high-performing database teams.

Technical Challenge Preparation:

Database Fundamentals: Brush up on your database fundamentals, including SQL, indexing, normalization, and transaction management.
Performance Tuning: Review performance tuning techniques, query optimization, and database optimization strategies.
AI/ML & Automation: Familiarize yourself with AI/ML-powered database optimization, anomaly detection, and intelligent workflows, and practice hands-on exercises to demonstrate your expertise.

ATS Keywords: [Comprehensive list of database engineering, management, and AI/ML-relevant keywords for resume optimization, organized by category: database technologies, cloud platforms, performance tuning, disaster recovery, automation, team leadership, and industry terms]

📝 Enhancement Note: 3E's interview process focuses on assessing your technical skills, problem-solving approach, and cultural fit, ensuring a comprehensive evaluation of your qualifications for the Database Engineering Manager role.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

SQL Server: Proficient in SQL Server administration, performance tuning, and high-availability solutions.
Oracle: Experienced in Oracle database administration, optimization, and migration strategies.
PostgreSQL: Familiar with PostgreSQL administration, performance tuning, and cloud migration best practices.
MongoDB: Proficient in MongoDB administration, data modeling, and aggregation pipeline development.

Cloud Platforms:

AWS: Experienced with Amazon Web Services (AWS) and relevant services, such as Amazon RDS, Amazon Aurora, and Amazon Redshift.
Azure: Familiar with Microsoft Azure and relevant services, such as Azure SQL Database, Azure Cosmos DB, and Azure Database Migration Service.
GCP: Knowledgeable about Google Cloud Platform (GCP) and relevant services, such as Cloud Spanner, Cloud SQL, and BigQuery.

Development & DevOps Tools:

Infrastructure as Code (IaC): Proficient in IaC tools, such as Terraform, Ansible, or CloudFormation, to automate database deployment and configuration.
Version Control: Experienced with version control systems, such as Git, to manage database schema, scripts, and configuration files.
Continuous Integration/Continuous Deployment (CI/CD): Familiar with CI/CD pipelines and tools, such as Jenkins, GitLab CI/CD, or Azure DevOps, to automate database deployment and testing processes.

AI/ML Tools:

AI/ML Platforms: Experienced with AI/ML platforms, such as TensorFlow, PyTorch, or AWS SageMaker, to develop and deploy AI/ML models for database optimization and anomaly detection.
AI/ML Libraries & Frameworks: Familiar with AI/ML libraries and frameworks, such as scikit-learn, XGBoost, or LightGBM, to build and optimize predictive models for database performance and efficiency.

📝 Enhancement Note: 3E's technology stack includes a diverse range of database technologies, cloud platforms, and AI/ML tools, requiring a well-rounded database engineering professional with expertise in multiple areas.

👥 Team Culture & Values

Database Engineering Values:

Data-Driven Decision-Making: Emphasize data-driven approaches to database management, optimization, and automation.
Continuous Learning & Improvement: Foster a culture of continuous learning and improvement, staying up-to-date with emerging trends and best practices in database engineering.
Collaboration & Knowledge Sharing: Encourage collaboration and knowledge sharing, promoting a culture of learning and growth within the database engineering team.
Performance Optimization: Prioritize performance optimization, ensuring optimal database performance, scalability, and availability.

Collaboration Style:

Cross-Functional Integration: Work closely with cross-functional teams, including product, content, legal, HR, finance, and support, to ensure database engineering aligns with enterprise-wide priorities and delivers value across the organization.
Code Review & Peer Programming: Implement a culture of code review and peer programming, fostering knowledge sharing and continuous learning within the database engineering team.
Mentoring & Knowledge Transfer: Establish a mentoring program to facilitate knowledge transfer, skill development, and career growth within the database engineering team.

📝 Enhancement Note: 3E's database engineering values emphasize data-driven decision-making, continuous learning, and collaboration, providing a strong foundation for a strategic database engineering leader to drive operational excellence and cross-functional alignment.

🌱 Challenges & Growth Opportunities

Technical Challenges:

Database Performance Optimization: Address complex database performance issues, optimizing queries, and implementing indexing strategies to improve response time and throughput.
AI/ML Integration: Integrate AI/ML models into database workflows, improving performance, and driving operational efficiency through intelligent automation and anomaly detection.
Cloud Migration: Lead the migration of on-premises databases to cloud-based platforms, ensuring data security, compliance, and optimal performance.
Disaster Recovery & Business Continuity: Design and implement robust disaster recovery and business continuity solutions, ensuring minimal data loss and rapid recovery in case of system failures or natural disasters.

Learning & Development Opportunities:

AI/ML Specialization: Deepen your expertise in AI/ML-powered database optimization, anomaly detection, and intelligent workflows, staying at the forefront of emerging trends and best practices.
Cloud-Native Modernization: Lead the modernization of 3E's database ecosystem, adopting cloud-native principles and migrating to modern, scalable, and secure database platforms.
Team Leadership & Development: Develop your team leadership skills, mentoring team members, and driving operational excellence across the database engineering function.
Architecture & Design: Expand your architectural and design skills, working on complex database projects and contributing to 3E's long-term technology vision.

📝 Enhancement Note: 3E's technical challenges and learning opportunities provide a comprehensive roadmap for a strategic database engineering leader to drive operational excellence, adopt emerging technologies, and develop their skills in a dynamic and collaborative work environment.

💡 Interview Preparation

Technical Questions:

Database Fundamentals: Demonstrate your understanding of database fundamentals, including SQL, indexing, normalization, and transaction management.
Performance Tuning: Explain your approach to database performance tuning, query optimization, and indexing strategies.
AI/ML & Automation: Discuss your experience with AI/ML-powered database optimization, anomaly detection, and intelligent workflows, and provide practical examples of your hands-on expertise.
Cloud Migration: Describe your experience with cloud migration projects, including data migration, schema conversion, and infrastructure as code (IaC) implementation.
Disaster Recovery & Business Continuity: Outline your approach to disaster recovery and business continuity planning, highlighting your experience with backup strategies, recovery time objectives (RTOs), and recovery point objectives (RPOs).

Company & Culture Questions:

Company Culture: Explain how your personal values and work style align with 3E's company culture, emphasizing your commitment to collaboration, innovation, and continuous learning.
Cross-Functional Collaboration: Describe your experience working with cross-functional teams, and provide examples of how you have driven alignment and delivered value across the organization.
AI-First Vision: Discuss your understanding of 3E's AI-first vision, and explain how your database engineering expertise can contribute to the company's long-term technology strategy.

Portfolio Presentation Strategy:

Database Management: Highlight your experience with complex database environments, performance tuning, disaster recovery, and automation, using live demos and responsive design principles to showcase your technical skills and achievements.
Cloud Migration: Showcase your experience with cloud migration projects, including data migration, schema conversion, and infrastructure as code (IaC) implementation, using live demos and responsive design principles to demonstrate your technical expertise.
AI/ML Integration: Emphasize your experience integrating AI/ML models into database workflows, improving performance, and driving operational efficiency, using live demos and responsive design principles to showcase your technical skills and accomplishments.
Team Leadership: Provide examples of your team leadership and mentoring skills, emphasizing your ability to grow and develop high-performing database teams, using storytelling techniques and live demos to illustrate your impact and achievements.

📝 Enhancement Note: 3E's interview preparation focuses on assessing your technical skills, problem-solving approach, and cultural fit, ensuring a comprehensive evaluation of your qualifications for the Database Engineering Manager role.

📌 Application Steps

To apply for this database engineering manager position at 3E:

Customize Your Resume: Tailor your resume to highlight your relevant database engineering and leadership experience, emphasizing your proficiency in SQL Server, Oracle, PostgreSQL, MongoDB, and cloud platforms (AWS, Azure, GCP).
Prepare Your Portfolio: Curate a portfolio showcasing your database management, performance tuning, disaster recovery, and automation skills, as well as your experience with AI/ML integration, cloud migration, and team leadership.
Research 3E: Thoroughly research 3E's company culture, AI-first vision, and database engineering values to ensure a strong fit and alignment with your personal values and career goals.
Prepare for Technical Interviews: Brush up on your database fundamentals, performance tuning techniques, AI/ML & automation, and cloud migration best practices, and practice hands-on exercises to demonstrate your expertise.
Prepare for Behavioral & Cultural Fit Interviews: Reflect on your cross-functional collaboration experiences, team leadership skills, and commitment to 3E's company culture, and be ready to discuss your alignment with the company's AI-first vision and database engineering values.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Database Engineering Manager