Director, Data Engineering

Overview

The 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

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

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What You'll Bring to the Table

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

The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment. We accept applications on an ongoing basis.

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