Cloud Data Architect (Remote)

$116,000 - $180,000/Yr

Signet Jewelers - Akron, OH

Full-time - Mid Level

Remote - Akron, OH

1,001-5,000 employees

Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

The Cloud Data Architect at Signet Jewelers is a remote position focused on designing and developing innovative solutions for the company's data ecosystem. This role combines expertise in data architecture and engineering, with a strong emphasis on mentorship and collaboration. The architect will align data platform architecture with business goals, contribute to the engineering of enterprise data platforms, and drive technological evolution within the organization.

Responsibilities

• Contribute recommendations and roadmaps for future architecture, focusing on cloud data platform engineering.
• Maintain and update strategic architecture plans and documentation to align with evolving business goals.
• Participate in technical and architecture activities to ensure decision making considers the entire enterprise's goals and needs.
• Build proofs of concept (POCs) to evaluate the viability of solutions.
• Serve as a mentor to colleagues, sharing knowledge and expertise in data platform architecture.
• Provide innovative ideas leveraging cutting-edge technologies to enhance cloud data platform architecture.
• Engage in the development of the enterprise data platform.
• Contribute to the optimization of costs within the AWS data platform.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Computer Engineering, or related field.
• 5 years or more of experience in a relevant technology field.
• Proficiency in managing and optimizing AWS RedShift databases.
• Hands-on experience in designing, building, and optimizing data pipelines on AWS using services like AWS Glue, Amazon EMR, or Apache Spark.
• Experience in architecting and implementing data warehousing solutions on AWS.
• Expertise in designing and implementing ETL processes within the AWS ecosystem.
• Essential expertise in Python programming for data engineering tasks.
• Familiarity with serverless computing on AWS, utilizing services like AWS Lambda.
• Knowledge of implementing robust data security measures on AWS.
• Proven ability to implement monitoring solutions and optimize data engineering workflows on AWS.
• Experience in collaborating with cross-functional teams and documenting data engineering processes.
• Demonstrated capability in identifying and resolving data engineering challenges.

Nice-to-haves

• Commitment to continuous learning and staying updated on the latest AWS cloud data engineering trends.

Benefits

• 401(k) matching after one year of employment
• Dental insurance
• Health insurance
• Store discount
• Vision insurance
• Generous time off + company holidays
• Learning & Development programs