Senior Software Engineer (Data Quality Management)

Quick Facts

• Role: Senior (or Lead) Software Engineer for Data Quality Management (DQM)

• Focus: AWS-based platform delivering automated data quality scoring across enterprise data sources

• Work style: Hands-on engineering; build infrastructure + application features + CI/CD; monitor and improve reliability

Description

You will help maintain and enhance an AWS-based Data Quality Management platform that automatically scores data quality across enterprise systems. The role includes designing and developing efficient, cost-effective solutions using modern cloud technologies, infrastructure as code, and event-driven architectures. You will implement data quality checks and validation logic, monitor and debug workflows, and contribute to architecture and system design improvements aligned with engineering and security standards.

Responsibilities

• Build and enhance platform features across infrastructure, application code, and CI/CD pipelines

• Support AWS CDK deployments across multiple environments

• Implement data quality checks and validation logic across diverse data sources

• Monitor, debug, and improve workflow performance and reliability

• Write clean, maintainable code and participate in peer code reviews

• Influence architecture, system design, and platform improvements while aligning with engineering standards and security requirements

• Apply event-driven/distributed systems patterns in production

• Guide or mentor other engineers (Lead-level expectations)

• Participate in proposals, estimates, and proof-of-concept activities

Requirements

• Bachelor’s degree in Computer Science, MIS, or related field and at least 2 years of software development experience OR 6 years related/applicable experience

• For Lead level: Bachelor’s degree and at least 5 years development experience OR 9 years related/applicable experience

• Strong analytical problem-solving with high attention to detail

• Demonstrated experience in software development lifecycle methodologies

• Root-cause analysis, problem definition, solution implementation, verification, and ongoing optimization using data

• Ability to communicate key information to stakeholders and adjust communication style

• Ability to coach/mentor and lead by example; maintain composure under pressure

• Ability to thrive in a fast-paced environment with changing priorities; strong organizational skills

• Continuous learning mindset

• Ability to collaborate within a diverse development team model (e.g., global staffing/crowd sourcing)

Benefits

• Opportunities to own components across infrastructure, execution, and orchestration

• Support for learning and growth (deep AWS/domain expertise and certifications not required)

• Collaborative environment that values continuous learning, knowledge sharing, and pragmatic problem-solving

• Involvement in architecture and system design improvements and platform modernization