Data Architect - Data Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

This is an environment unlike anything in the high-tech world and the secret of Costco’s success is its culture. The value Costco puts on its employees is well documented in articles from a variety of publishers including Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its generosity and community service and has won many awards for its philanthropy. The company joins with its employees to take an active role in volunteering by sponsoring many opportunities to help others. In 2018, Costco contributed over $39 million to organizations such as United Way and Children's Miracle Network Hospitals.

Costco IT is responsible for the technical future of Costco Wholesale, the second largest retailer in the world with wholesale operations in twelve countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed. As proof, Costco consistently ranks in the top five of Forbes “America’s Best Employers”.

The Data Architect is responsible to define standards and design the flow of data throughout both the enterprise and the integration to external ecosystems (customers, channels, etc.). At Costco, we are on a mission to significantly leverage our complex data to provide better products and services for our members. This role is focused on data architecture to own the vision for the data landscape at Costco and to work collaboratively with the data platform team, product owners, data engineers, BI engineers and data scientists. In this role you are required to lead development and maintenance of data architecture and work with a team of data architects to improve the maturity of curated data, data pipelines, data quality and data governance to support data democratization. A data architect is a knowledgeable leader with an ability to lead and is passionate about coaching and to use data to solve business problems. The right individual will have a vision for the overall data landscape with the ability to develop technically viable global data architecture with a focus on international data.

We are looking for a highly motivated, international business focused data architect who wants to work in a fun and highly collaborative environment and is willing to be the player as well as coach for the data architecture community at Costco.

If you want to be a part of one of the BEST “to work for” companies in the world, simply apply and let your career be reimagined.

ROLE

• Drives the international data architecture strategy in collaboration with enterprise architecture.
• Builds, optimizes and maintains logical (curated) data models.
• Advises team on translating business needs into long-term architecture solutions.
• Develops and maintains reference architectures for data services.
• Works with data engineering and data platform teams to conduct ongoing performance enhancement by troubleshooting and introducing new technologies.
• Assists in defining data integration, storage, replication and transformation protocols for the data layer of technical solutions supported by enterprise architecture.
• Participates in delivery of operational business performance monitoring capabilities.
• Brainstorms ideas with database developers, data engineers and data scientists to generate new data products.
• Mentors and coaches the data architecture team on new technologies and methodologies in data architecture and engineering.

REQUIRED

• 7+ years’ experience in data architecture with large and complex datasets.
• 3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies.
• Experience in developing a big picture view of data needs of business and builds the architecture on the basis of a strong technical foundation.
• Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
• Graduate degree in Computer Science, Engineering, or equivalent software/services experience.

Recommended

• Experience leading data architecture and data solutions through agile software development methodologies.
• Exposure to the retail industry.
• Experience leading software development teams.
• Excellent verbal and written communication skills.