Data Architect

2 months ago

Atlanta, United States Furniture.com America LLC Full time
Job DescriptionJob Description

Data Architect

Furniture.com

About Us

Furniture.com is a high growth consumer tech start up that is addressing fundamental challenges in the $200B US furniture space. The company is a B2B and B2C digital aggregator with a simple mission: To make finding furniture easy.

For consumers, we make it easy to find the right furniture by enhancing search and streamlining the end-to-end customer experience. For retail partners, we deliver a digital platform allowing them to expand their reach with a high-intent, high value furniture audience.

Furniture.com is growing fast. Our team is comprised of furniture experts (obviously) as well as world class technologists and brand builders. We come from a variety of walks of life and can be found either in Atlanta or in NYC. We are backed by the investment arm of one of America's largest furniture retailers, although we are independent and proudly building a technology in service of the furniture industry and furniture shoppers.

About the Role

We are seeking a skilled Data Architect to lead data initiatives to enable data ingestion, data management, and governance efficiencies. This is a highly technical role reporting to the Data Engineering Manager along with whom you will function as the Data Engineering subject matter expert.

What will you do:
  • Lead the design and development of robust data pipelines to ingest, aggregate, and index diverse data sources using Databricks in AWS
  • Spearhead the development of a cutting-edge data solutions leveraging Databricks, ensuring delivery within timelines and budget.
  • Collaborate closely with the business stakeholders to ensure the data platform effectively supports business goals.
  • Mentor and coach data engineers fostering a culture of engineering excellence and innovation.
  • Passionate about platform health and resiliency to ensure high availability, real-time alerting, and system health metrics.
  • Participate in capacity and resource planning for projects in the product roadmap.
  • Deliver projects using Agile principles to demonstrate incremental value in short iterations.
  • Champion a culture of fearless innovation while serving as a player coach to the Data Engineering team.
  • Work with DevOps team to automate code pipelines using CI/CD principles.
  • Contribute code for prototypes as well as planned roadmap features in addition to architecture designs.
What we're looking for:
  • Bachelor's degree in information technology, Computer Science, or related field
  • 7+ years as Data Architect or Staff Engineer working on large scale data platforms.
  • 2+ years' experience with Databricks using core features like Unity Catalog, Delta Tables, Delta Live Tables is required.
  • Sound understanding of leveraging data cache like Redis is required.
  • Must be proficient in Python, SQL, and PySpark.
  • Experience in building Data Models for NoSQL and RDBMS databases
  • Experience writing unit tests and collaborating with Data Quality Analysts is essential.
  • Excellent communication skills, both oral and written, with a demonstrated ability to effectively collaborate with cross-functional teams.
  • Collaborate seamlessly with functional partners in Data Science and Product Management to define the project milestones from ideation to delivery.
  • Working knowledge of CI/CD using GitHub Actions or Databricks Asset Bundles
Good to have:
  • AWS, Azure, or GCP cloud certification
  • Databricks certification highly desired
  • Prior experience with object-oriented programming languages
  • Experience with search engines like ElasticSearch or Algolia

The company is an equal opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.

Applicants must be authorized to work in the U.S.

# LIHybrid

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