Lead Database Software Engineer

About the Role

Key Responsibilities

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering large-scale technology solutions
• Design, code, test, debug, and document projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges
• Make decisions in developing standard and companywide best practices for engineering and technology solutions
• Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues
• Execute the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation and innovative solutions
• Lead projects, teams, or serve as a peer mentor
• Maintain knowledge of industry best practices and new technologies, recommending innovations to enhance operations
• Strategically engage with professionals across the enterprise and serve as an expert
• Architect and deploy solutions on-premise and on Google Cloud (GCP), ensuring scalability, reliability, and performance

Requirements

• 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
• 5+ years of experience in Relational Databases (SQL Server, Oracle, DB2, or others)
• 5+ years of experience working with analyzing and interpreting large datasets
• 5+ years of experience with performance tuning and performance optimization
• 5+ years of data modeling experience
• 5+ years of data security and design experience
• 5+ years of gathering user requirements, designing, and building distributed computing solutions using Test Driven Development (TDD)
• 5+ years of working with DevOps tools (Git, Automation Deployment toolkits)
• 5+ years working in an Agile development environment

Nice to Have

• 5+ years of financial industry experience
• Experience with modeling tools like Erwin, PowerDesigner, etc.
• Experience with Python, Spark, Kafka, Apache Flink, Apache Storm, Kubernetes, Docker
• Experience working with Data Microservices
• Experience with NoSQL and Graph databases
• Experience with configuration and monitoring technologies such as Ansible, Grafana, ElasticAPM, Splunk, Prometheus, or AppDynamics
• Knowledge of Kubernetes platforms
• Google / Azure / Amazon Cloud certifications
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Ability to work independently and as part of a team

Qualifications

• Educational background implied in 5+ years of experience or equivalent

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement