Data Delivery Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Delivery Manager in United States. This role is responsible for leading enterprise data delivery operations that power critical business decision-making across multiple functions. You will oversee the design, execution, and optimization of scalable data pipelines and ETL frameworks that ensure reliable, high-quality access to enterprise data.

Accountabilities

• Lead, mentor, and develop a team of ETL engineers and data delivery specialists, ensuring strong performance management, career growth, and a culture of accountability and continuous improvement.
• Oversee the design, development, and optimization of scalable ETL/ELT pipelines and enterprise data warehouse solutions to ensure reliability, performance, and scalability.
• Define, standardize, and govern business KPIs and data metrics in collaboration with stakeholders, ensuring consistent and trusted reporting across the organization.
• Implement and maintain data quality frameworks, monitoring systems, and validation processes to ensure high data accuracy, uptime, and operational integrity.
• Partner with cross-functional teams (Finance, Sales, Marketing, Operations, Compliance) to translate business requirements into actionable data solutions and reporting standards.
• Drive automation, CI/CD integration, and infrastructure best practices to improve pipeline reliability, reduce manual effort, and enhance delivery efficiency.
• Manage day-to-day data operations, including issue resolution, SLA adherence, and continuous improvement of data delivery processes and frameworks.

Requirements

• Bachelor's degree in Information Technology, Computer Science, Engineering, or related field, or equivalent education and experience.
• 5+ years of experience in data engineering, ETL development, or data analytics roles.
• Proven experience leading and managing high-performing data engineering or data delivery teams.
• Strong expertise in designing and scaling enterprise data pipelines, data warehouse systems, and performance-optimized architectures.
• Advanced SQL skills and strong experience with both relational and non-relational databases.
• Hands-on experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.
• Deep knowledge of ETL/ELT frameworks and orchestration tools such as Airflow, dbt, or Prefect.
• Strong understanding of CI/CD pipelines, Git workflows, and Linux-based environments.
• Proven ability to define, validate, and govern business KPIs and ensure alignment with stakeholders.
• Strong communication skills with experience translating complex technical concepts into business insights.
• Nice to have: experience with data observability tools, automation frameworks, and cloud-native monitoring solutions.

Benefits

• Competitive annual salary ranging from $147,500 to $185,000 depending on experience and location.
• Performance-based bonuses and eligibility for incentive programs.
• Fully remote work with flexibility to work from anywhere in the United States.
• Comprehensive health benefits including medical, dental, vision, disability, and mental health coverage.
• Equity participation and long-term incentive opportunities.
• Unlimited paid time off to support work-life balance and well-being.
• Home office setup allowance and monthly communication stipend.
• Career growth opportunities in a highly collaborative and innovation-driven environment.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws. You may exercise your rights at any time. We may use AI tools to support parts of the hiring process, but final hiring decisions are made by humans.