Technical Delivery Manager - DataOps, Zoro

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Zoro offers millions and millions of products — an endless aisle with everything you need to run your business. We offer fast and free shipping, no-hassle returns, and exceptional customer service. We’ve grown quickly in a short time and are continuing to do so while aggressively growing our revenue. We are excited to be a part of an award-winning culture — we have been named a Great Place to Work for multiple years in a row, among other local and national accolades. We think Zoro is a pretty amazing place to work and grow, and think you will too! 

Primary Function:

As the Technical Delivery Manager - DataOps in Data Engineering at Zoro you will be accountable for leading the DataOps domain in Data Engineering. Your primary responsibilities will be to coach and mentor your domain in agile/scrum practices, incident management life cycle, and other Zoro norms. Your domain team will be responsible for supporting data pipelines, incident management, and infrastructure for Zoro’s Data Platform (ZDP). 

For you and the DataOps team to be successful you will need to:

• drive agile/scrum practices, incident resolution, and Zoro norms within your domain
• collaborate closely with stakeholders to ensure smooth transition from build to support
• own the team’s backlog, incident management life cycle, data pipeline monitoring strategy, infrastructure upgrade, user access/authorization requests to ZDP
• identify more efficient operational practices and tools

Your day-to-day activities will include leading, delegating, and participating in:

• cadence meetings, backlog grooming, retrospectives, and iteration management
• pairing and collaboration sessions with team members
• monitoring creation, alert tuning, and incident resolution
• collaborating with stakeholders to perform scheduled maintenance and upgrades
• cross functional team troubleshooting and issue resolution

Duties and Responsibilities:

• Accountable for maximizing the deliverable value of the DataOps team
• Mentoring and coaching team members to help them self-organize, remove impediments, incident management, and agile/scrum practices
• Coordinate Incident management, communication, and resolution with the team members and stakeholders
• Lead infrastructure, security, and other technology upgrades projects from start to finish
• Collaborate with enterprise teams to ensure ZDP is in compliance with internal and external regulations and policy
• Collaborate with engineering teams to automate code analysis, testing, building, and deployment
• Collaborate with stakeholders to prioritize the backlog against the company, department, and team initiatives into the current and future iterations
• Promote a culture of high-performance by balancing innovation and operational excellence
• Be a champion for organizational change management 

Qualifications:

• Expert people skills - must be able to form strong, meaningful, and lasting collaborative relationships
• Expert experience with collaborating with domain and scrum teams
• Expert experience with incident management frameworks with preference towards ITIL
• Expert experience with managing cloud based infrastructure including Kubernetes
• Expert experience with troubleshooting complex issues in cloud environments
• Strong experience with RDBMS, No-SQL DBs, data modeling, Python, SQL, and ETL/ELT processes
• Strong experience with building, deploying, and maintaining data pipelines
• Strong experience with leading operation teams that support online systems
• Strong experience with cloud infrastructure services with preference for experience with Google Cloud Platform (GCP)
• Experience with most of the following technologies: MongoDB, BigQuery, Jira, Git, Kubernetes, Jenkins, Terraform, Linux CLI, Airflow, and Spark
• Bachelor's degree (masters’ preferred) in Computer Science, Applied Mathematics, Engineering, or other technology related field; an equivalent of this educational requirement in working experience is also acceptable