Highly skilled Data Solution Architect to lead analysis, design, and implementation of business data solutions leveraging Databricks. Ensure high-quality data solutions and oversee data design and security for cloud-based data platforms. Guide data squad on standards for data quality and devise validation plans.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
$65+/hour W2
100% Remote – EST Hours
1 year Contract
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 continuing success. The leadership team strives for work-life balance for all its employees, with options for overtime if desired.
We are seeking a highly skilled Data Solution Architect to support data ingestion, engineering, design, and modeling within our Data Product teams. The primary responsibility is to ensure the development and implementation of high-quality data solutions.
Duties And Responsibilities
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- 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.
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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.
Category Code: JN008
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