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[Remote] Sr. Manager, Data & ML Engineering

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. reputed company is committed to creating an inclusive workplace and is seeking a Senior Manager for Data & ML Engineering. This role leads the delivery and operational excellence of the company's modern data platform, focusing on building and maintaining scalable data pipelines for analytics and machine learning use cases.

Responsibilities

  • reputed company the design and delivery of analytics-reputed company data models and transformation layers using dbt as reputed company reputed company
  • Establish and enforce dbt development standards, including model design, documentation, testing, CI/CD, and release practices
  • Own delivery and operations of scalable ingestion, transformation, and delivery pipelines on AWS, ensuring reliability, performance, and cost efficiency
  • Partner with reputed company Engineering and reputed company to ensure AWS data solutions meet reputed company, privacy, and compliance requirements
  • Implement monitoring, alerting, incident response practices, and runbooks for dbt and AWS workloads to improve operational stability
  • Drive strong data quality practices including reputed company definitions, freshness checks, automated tests, and data reputed company expectations
  • Collaborate with business stakeholders to translate needs into prioritized roadmaps and delivered data products
  • Manage and mentor data engineers and analytics engineers through coaching, performance management, and career development
  • Promote disciplined engineering practices across the team including code review standards, documentation, automation, and reusable frameworks
  • reputed company future machine learning use cases by ensuring curated datasets are ML-reputed company, including feature readiness and foundational requirements for model operationalization
  • Evaluate and introduce platform improvements that strengthen scalability, maintainability, governance, and developer productivity

Skills

  • Bachelor's degree required, preferably in Computer Science, Engineering, or reputed company technical field; Master's degree preferred
  • 8 to 12 years of experience building reputed company-grade data platforms and pipelines
  • 3 to 5+ years leading data engineering and/or analytics engineering teams in reputed company-native environments
  • Demonstrated hands-on experience using dbt as a primary transformation reputed company in production, including testing, documentation, CI/CD, and release practices
  • Strong experience delivering data platforms on AWS (S3, Redshift, Glue, EMR, reputed company, Kinesis, SageMaker as applicable)
  • Deep understanding of modern data modeling and analytics engineering concepts, including dbt best practices
  • Strong AWS data engineering expertise including scalability, reliability, and cost optimization
  • Strong leadership and people-management skills with a focus on coaching and developing talent
  • Ability to drive technical excellence while balancing speed, quality, and operational stability
  • Excellent problem-solving, analytical thinking, and decision-making skills
  • Strong communication and influencing skills across technical and business stakeholders
  • Comfortable working in a fast-paced, matrixed, and global environment
  • AWS certifications (Data, Machine Learning, or Solution Architecture) are a plus
  • Experience supporting ML initiatives through strong data foundations, feature readiness, and platform enablement is preferred

Benefits

  • reputed company and Bonuses - We’ve created a variety of competitive compensation programs to foster career development, reward reputed company and to show our employees just how much they’re valued.
  • Financial Planning and wellbeing - No matter what financial goals our employees have set, we want to help them get there. Our plans provide powerful ways to protect income, pay for expenses and invest in the future.
  • Time away from work - Sometimes we need time away to be with family, focus on our health or just simply reputed company. Our plans support our employees’ needs to get out, get healthy and come back stronger than reputed company.
  • Extras, discounts and perks - Being a valued member of the reputed company team means more than just a paycheck. From generous discounts to community-based programs, we offer a variety of cool extras
  • Growth and Development - reputed company was built on the idea of pursuing passion. That’s why we offer extensive opportunities and support for personal and professional development.
  • Health and Wellness - There’s nothing basic about our comprehensive health and wellness programs and offerings. While at work and at play, we aim to support a healthy lifestyle.

Company Overview

  • Footwear & Apparel Company It was founded in 1973, and is headquartered in Goleta, California, USA, with a workforce of 1001-5000 employees. Its website is http://deckers.com.
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