Senior Data Engineer

Company Description

Cricut® makes smart cutting machines that work with an easy-to-use app, an ever-growing collection of materials, and crafting essentials to help you design and personalize almost anything — custom cards, unique apparel, everyday items, and so much more.

Overview

We believe everyone is born creative. We’re a diverse tapestry of thinkers, dreamers, givers, DIYers, handi-workers, artisans, and forever and always architects of things.

At Cricut, we place the power of handmade into the hands of all. We give you beautiful, easy-to-master tools so you can make something unique, remarkable, perfect. We surround you with ideas, community, inspiration, and encouragement to take your creativity further than you ever imagined. And as a community, we celebrate the exhilarating act of making every single day.

So, make that handcrafted card that feels like a hug. Design a shirt for fun, for family, or for a full-blown business. Craft with a passion or for a purpose. Make something big and bold, itsy-bitsy, amazingly ambitious, or just plain silly. Whatever you make, just make your heart out. Because here’s the remarkable truth: When we all make together, we make all things possible.

Let’s make.

Job Description

Cricut® is looking for a Senior Big Data Engineer to join our Data Platform team supporting the future of AI/ML. The ideal candidate will design, build, and integrate data from various resources, and manage big data pipelines that are easily accessible with optimized performance of Cricut®'s big data ecosystem.

The ideal candidate is an experienced data wrangler who will support our software developers, database architects and data analysts on business initiatives. You must be self-directed and comfortable supporting the data needs of cross-functional teams, systems and technical solutions.

Data Engineering Stack: Structure big data infrastructure in accordance with the current and future technology roadmap of Cricut. Develop, architect and implement core data engineering and data warehouse frameworks in support of key company data initiatives e.g. personalization, customer data platform

Data Quality & Governance: Design and build data quality monitoring framework to ensure data completeness and data integrity in data platform. Champion security and governance and ensure data engineering team adheres to all company guidelines

Data Integration: Lay down the solid foundation of Data integration of new data sources. Provide direct and ongoing leadership for a team of individual contributors designing, building & maintaining highly scalable, predictable, and modern data pipeline.

Collaboration

· Partner with with front end team to design efficient Data Model

· Work closely with Business Intelligence and Data Science team to provide data platform as a Service

· Work with Data Science team to deploy ML models

Qualifications

Background:

· Bachelor’s degree in Computer Science or related degree

· 7+ years of experience leading Modern Data platforms and solving business problems using data and advanced analytical methods

· Experience with Cloud data stack solutions such as AWS, Redshift, Snowflake, Airflow

· Experience handling real-time events data feed is required.

· Experience writing production level code for data pipelines and real time applications, and contributing to a large code repository

· Significant experience working with structured and unstructured data at scale and comfort with a variety of different stores (key-value, document, columnar, etc.) as well as traditional RDBMSes and data warehouses.

Skills:

· Strong experience building Data warehouse, Datamart and analytics solutions.

· Have strong experience in data modeling, mapping & analysis and design.

· Strong experience with relational and no-SQL Databases.

· Expertise in developing end-to-end data pipelines, from data collection, through data validation and transformation, to making the data available to processes and stakeholder

· Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar

· Expertise in OLAP databases such as Snowflake or Redshift

· Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar

· Organized and capable of managing multiple complex projects on tight deadlines without compromising quality, and comfortable working with dynamically evolving requirements.

· Communicate and collaborate with all roles in the technology department, including technology management, product management, technical product owners, engineering and quality engineering.

· Experience in Agile project management methodologies.

· Provide and maintain staff engagement and motivation, becoming a role model for the team and contributing towar