Sr Solutions Architect; Databricks
Listed on 2026-06-03
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IT/Tech
Data Engineer, Cloud Computing
Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients, and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.
Sr. Solutions Architect (Databricks)This role is for a Sr. Solutions Architect who will be passionate about data with both solution architecture and hands-on Databricks engineering skills. Initially, the role will be hybrid, architecting and helping teams build their Databricks data processing pipelines, with the goal of teaching and mentoring them to be self-sufficient. As capabilities are established, responsibilities will shift toward a traditional architecture role.
This position will be instrumental in implementing state-of-the-art analytics solutions and assisting with the migration of on-premises solutions (e.g., Data Warehouse, Data Lakes, ODSs) to Databricks. It is critical in establishing a solid foundation for data management, ensuring that data is organized, accessible, secure, governed, and aligned with business objectives.
The Sr. Solutions Architect (Databricks) will:
- Help establish a cloud-based data management platform (focusing on Databricks) that supports the Medallion Architecture and integrates operational processes, data integration, data warehousing, business intelligence, and advanced analytics (e.g., AI/ML).
- Lead and mentor engineering teams by working side-by-side to help develop robust solutions and provide guidance on best practices for processing, storing, and accessing data in the cloud.
- Define and implement migration strategies to modernize existing data-centric solutions in the cloud, coaching teams through the transformation process.
- Ensure alignment to established standards, principles, patterns, guidelines, security and processes critical for successful cloud adoption and proper governance.
- Partner with Data and AI architects to influence architectural patterns and best practices, and actively apply them in solution design.
- Translate business requirements into technical solutions, collaborating closely with product owners and managers to ensure successful implementation throughout the product lifecycle.
- Develop future state roadmaps for products and technologies that align with and enable business objectives, ensuring a clear vision for data evolution.
- Evaluate and strategically integrate emerging technologies for data management, storage, analytics, and related tools, contributing to future-state architectural decisions.
- Databricks proficiency: Strong, hands-on experience using the Databricks platform and its tools like Delta Lake, Delta Live Tables, Databricks SQL, etc.
- Cloud platform expertise: Proven experience with Google Cloud Platform (GCP) or another major provider like AWS or Azure
- Data & Engineering Practices: Hands-on experience with data pipelines (Python, Spark, ETL/ELT, APIs) and modern agile practices, including CI/CD, Infrastructure as Code (IaC), and automated testing.
- Data-centric solutions: At least 3-5 years of direct experience in implementing and developing data-centric solutions such as Data Lakes, Operational Data Stores, and Data Warehouses using industry best-practice architectural patterns
- Solution Architecture: Practical experience working within an Enterprise Architecture framework. Requires a solid understanding of architecture principles and patterns gained through direct application or close collaboration, with a desire to grow into a full-time architectural role.
- Communication and
Collaboration:
Excellent written and verbal communication skills, with the ability to create clear architectural documentation and effectively convey complex technical concepts to diverse audiences, including engineers, managers, and project stakeholders. - Educational background: Minimum of a bachelor’s degree in Computer Engineering, Computer Science, Management Information Systems, or a related field and 8+ years of relatable IT experience. A combination of education and experience may meet requirements.
- Pr…
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