vineyard vines is a highly successful, privately held, American clothing and accessory retailer founded in 1998 on Martha's Vineyard by brothers, Shep & Ian Murray. With Shep & Ian still at the helm today, vineyard vines has experienced exponential year over year growth and now operates over 100 retail locations including an outlet division, a successful e-commerce business, domestic distribution center, and expanding corporate headquarters. In addition, vineyard vines is also carried in major department stores such as Nordstrom and Bloomingdales as well as numerous specialty boutiques across the US. At vineyard vines we pride ourselves on Shep & Ian's philosophy that "every day should feel this good" and "if you're doing what you love, you'll be successful".
Now is an exciting time to join vineyard vines. To keep-up with our growing and evolving business needs, we need smart and talented individuals to join on our crew to help us to drive the good life.
Overview:
We are seeking candidates for a Director of Data Engineering on our Analytics team to assist in the development of our data lakehouse architecture and support the execution of our overall analytics strategy.This is a hands-on role where partnering with our cloud data engineer, data scientists, business intelligence engineer to deliver our overall solution design, delivery, and support capability by dividing up the collective responsibilities under the direction of our Vice President of Data & Analytics.This role will report to our Vice President of Data & Analytics and work closely with our IT application source system experts, managed cloud provider, and consultants to deliver our Analytics capabilities and priorities while maintaining best practices and evolving as the Data & Analytics technology landscapes evolves.
We currently have a Microsoft Azure cloud solution utilizing Databricks for our lakehouse architecture.We use Azure Data Factory, PySpark notebooks, and Azure logic apps for data pipelines and orchestration, and serve analytics via Power BI.
You will:
- Responsible for the overall technical blueprint of our analytics environment including data patterns, standards, and DevOps approvals and workflow.
- Design, develop, and maintain the data lakehouse platform and data pipelines, ensuring they meet business requirements and best practices.
- Use Azure Data Factory, PySpark notebooks, logic apps and SQL for data movement across our medallion Databricks architecture structure.
- Utilize version control systems in Azure DevOps to manage codebase and ensure seamless collaboration and code promotion across environments.
- Create high-level estimates and assist team members with estimating workloads and managing day to day development.
- Approve code design and assist with migration of code/deployments across environments.
- Partner with cloud managed services team to meet security, networking, and cloud infrastructure best practices are implemented and maintained.
- Stay up to date with industry trends and best practices in data engineering, Azure, and Databricks development.
- Mentor developers and data scientists by providing technical guidance when needed.
What you bring:
- Bachelor's degree in computer science or other analytical discipline or equivalent experience.
- Minimum 10 years of experience designing, developing, and supporting ETL, BI, and Data. analytics applications in an enterprise environment.
- Minimum five years of experience using Azure cloud computing technologies.
- Minimum three years leading and developing technical delivery teams
- Extensive professional experience with Big Data systems, data pipelines and data processing.
- Deep expertise in Data Architecture, Data Modeling, and task estimations.
- Familiarity with data privacy standards, methodologies, and best practices.
- Practical hands-on experience with data technologies and Cloud Platform in Azure and Databricks.
- Deep understanding of performance tuning activities for data pipelines and orchestration best practices.
- Excellent time management skills with the ability to manage work to tight deadlines and handle the pressure of executive requests and project systems launches.
- Ability to deliver consistent high-quality results while working in a dynamic & fast paced environment with extreme attention to detail and ability to self-audit work.
- Minimum three years of hands-on experience using Databricks, ingesting data using pipelines, and loading delta tables.
- Extensive experience with Apache Spark, Python, and SQL.
- Experience working in a Data Lake environment handling structured and unstructured data.
- Experience working with APIs for data ingestion and integration.
- Attention to detail with the ability to produce reliable, effective solutions.
- Possessing a positive attitude and ability to work in a collaborative and energetic team environment.
- Power BI and Tabular modeling knowledge is a plus.
Every-day will feel this good because:
- We have a fun entrepreneurial culture filled with truly "good" people
- We have flexible working hours to accommodate your personal life
- We have multiple company outings as we believe spending time with the crew outside of work is part of the good life
- We offer a generous employee discount so you can rep our lifestyle on-and-off the boat
- We offer a competitive salary package, 401-K, commuter benefits, and paid-family leave
- We'll invest in your career.Our company is continuing to grow and we'll give you the opportunity to do the same. You'll have access to a number of professional development opportunities so that you can keep up with the company's evolving needs.