Data Solution Architect

Job Description

Our Retail client with over $80B in annual revenue has over 2,000 stores, across 21 US states, with over 400,000 employees. This company is a leader in sustainable retailing with a passion for delivering excellence. By driving omni-channel growth, efficiency in the shopping experience, and continuing to develop with new technologies, this company is growing and developing continued success. The leadership team strives for work-life balance for all its employees, with options for overtime if desired.

Responsibilities

• Lead the analysis, design, and implementation of business data solutions leveraging predominately Databricks.
• Consult on data systems architecture and API design during the initial phases of project development.
• Plan, participate, and review data design sessions to ensure adherence to data architecture best practices.
• Oversee data design and security for new cloud-based data platforms and products.
• Guide data squad on standards for data quality and devise validation plans.
• Enable teams through automated quality engineering and testing processes.
• Participate in data squad Agile ceremonies.

Qualifications

• 5+ years of experience in relevant technology fields.
• Experience designing and implementing modern data platforms and solutions.
• Proficiency with data architecture and modeling tools such as ER Studio.
• Hands-on experience with cloud platforms, particularly Azure and Databricks.
• Experience with data streaming technologies like Kafka.
• Proficiency with ETL tools, Databricks Data Intelligence Platform, SQL, and big data storage technologies.
• Strong problem-solving, critical thinking, communication, and presentation skills.
• Proven leadership and teamwork capabilities.