Data Architecture Innovator
3 days ago
At PrePass, LLC, we're seeking a visionary Data Architecture Innovator to spearhead the design and implementation of our next-generation, cloud-native data architecture.
About UsWe're North America's most utilized and technologically advanced weigh station bypass and toll payment platform. Our proven technologies enable safe, qualified motor carriers to bypass inspection facilities at highway speeds, saving them time, fuel, and money while reducing emissions.
As a hybrid position based in Phoenix, you'll be part of a team that caters to the evolving demands of our growing business. You'll lead projects, optimize production systems, and ensure reliability, performance, scalability, and security using Azure Databricks, Delta Lake, and other Microsoft Azure services.
Your Key Responsibilities- Design Scalable Architecture: Create highly scalable, distributed architecture to handle large-scale data processing, leveraging Azure Databricks, Delta Lake, and other Microsoft Azure services.
- Lead Projects and Optimize Systems: Take charge of projects, optimize production systems for reliability, performance, scalability, and security, ensuring seamless operations.
- Partner with Leadership: Collaborate with Product Management and Engineering leadership to architect and build solutions that deliver on roadmap features, meeting business objectives.
- Implement Best Practices: Implement best practices in Microsoft Azure for data quality, data governance, data security, data lineage, and data cataloging, maintaining high standards.
- Mentor and Lead Team: Guide and mentor less experienced engineers, overseeing and providing leadership to a team of approximately 5 engineers, promoting growth and development.
- Monitor Workflows and Compute: Actively monitor workflows and compute resources to identify refinements that improve efficiency and reduce costs, optimizing resource utilization.
To succeed in this role, you should have a strong background in designing and building large-scale database solutions, with a minimum of 8 years of experience, including at least 2 years in a leadership position. Proficiency in Python, Pyspark, SQL, and expertise in ETL/ELT solutions using Azure Databricks, Azure Data Factory, or similar tools are essential.
A bachelor's degree in computer science or a related technical field is required. We also look for individuals with exceptional collaborative abilities, a talent for navigating fluid environments, and a commitment to staying abreast of emerging technologies and industry best-practices.
Estimated Salary: $170,000 - $200,000 per year, depending on experience and qualifications.
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