- Responsible for overall system availability and communication to global teams during times of outage
- Deploy and manage monitoring tools that will ensure the timeliness, completeness and accuracy of all data pipelines
- Oversee daily system loads and control execution to ensure data integrity and alignment with other systems
- Ensure system patching is kept up to date and drives upgrade process based on corporate cadence
- Explore opportunities to improve system performance
- Architect and collaborate with the data engineers on deploying new source acquisition pipelines
- Ensure stability and performance of the existing pipelines in accordance with internal SLA's
- Guide the data engineering team through the enhancements of the existing data flows for source acquisition
- Stay abreast on tool roadmap to identify opportunities and risks to current landscape
- Lead engineering best practices, including test-driven development, agile management, and continuous integration pipelines
- Craft technical documentation, including readme files, coding comments, and technical documents and provides guidance in this regard to the team
- Represent data engineering in the conversations with the Crocs business community and/or the front-end analytics team and support these teams in forming a technical solution for new data developments or enhancements of the existing flows
- Provide advice and guidance to the functional teams on best-in-class technical solutions
- Bachelor's degree in computer science, information technology, engineering, mathematics, or equivalent technical degree
- 10+ years' experience in a similar role
- 3+ years' experience managing/leading an Engineering Team is required
- Experience in the Business Intelligence space, experience with Power BI is a plus
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)
- Experience with Snowflake, DataBricks, Apache Airflow, and reporting technologies such as Power BI
- Excellent Written and Verbal Communication / Excellent Project and Program Management
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Experience working in Azure, Azure Data Factory
- Experience designing data models following Kimbal Dimensional Modeling best practices
- Proficiency in SQL required
- Experience utilizing Git version control in a data environment
- Experience with continuous integration and deployment through Azure DevOps
- Experience leading a team in an Agile environment
- Experience working with SAP and Salesforce is a plus
- Knowledge of a scripting language (Python, R, etc.) preferred
- Experience using Spark and Kafka for data streaming preferred
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Director, Data Engineering - Broomfield, United States - Crocs
Description
OverviewThe role will lead a team of data engineers from Source Acquisition to Data Logic and Modeling, to Development Operations. This role works cross functionally within the Enterprise Data & Analytics Team, specifically collaborating with Business Intelligence, Data Governance, and Project Management. In addition, they are cross-functional partners across the other IT Verticals of Enterprise Systems (Finance, Retail, Digital, HR, Legal) and Supply Chain Technologies (Planning, Distribution, and Logistics). As a senior leader, you will be expected to be capable of managing multiple roadmaps (technology and business) where the exact priorities may not be defined. You will be looked to influence and set direction for the team and areas they support. This role's focus is to enable Crocs, Inc. to make quick, data-driven decisions that propel the business forward.
What You'll Do
What You'll Bring to the Table
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.
Title: Director, Data Engineering
Salary or Pay Range: $170,000-$195,000
Workplace Persona: Connector
Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities.
This position is eligible to participate in a company incentive program.
This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.
Job Category: Corporate
