Western Alliance Bank is looking to solve the problem of designing, building, and implementing critical components of the enterprise data platform, ensuring that data engineering solutions are safe, secure, compliant, and reliable.
Requirements
- 8+ years’ experience with data engineering specifically in Extract, Transform and Load (ETL) concepts and processes, enterprise data warehouse capabilities, database principles, and other related tools and technologies; preferably strong to expert in Azure Data Factory, Azure Synapse Analytics, and/or Databricks.
- 3+ years’ experience designing, implementing, and supporting cloud data solutions; Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience strongly preferred.
- Expert level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, Spark SQL.
- Expert level experience in conceptual, logical, and physical data design.
- Certifications within Azure such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer preferred.
- Familiarity with data science and analytics tools such as SAS, Tableau, Power BI.
- Familiarity with multi-cloud data management and transformation platforms or tools such as Databricks, Snowflake etc.
Responsibilities
- Design, develop and deploy data engineering solutions with Azure Data Factory, Synapse Analytics, and Azure DevOps to support Western Alliance Bank's regulatory reporting and LFI strategy.
- Develop data engineering solution designs that can be handed off to data engineering teams for execution, ensuring the reuse of components wherever feasible to maximize efficiency.
- Develop ETL and data pipeline capabilities considering how data is created, transformed, stored, archived, analyzed, and shared across Western Alliance Bank and our partner systems.
- Implement Azure DevOps CI/CD pipelines for all data solutions in adherence to Western Alliance Bank technical standards.
- Apply Test Driven Development methodology to all data solutions designed, built, and implemented.
- Lead the implementation of outcomes, recommendations, and designs from Data Governance and Enterprise Architecture.
- Lead the migration of multidimensional cubes to tabular models, optimizing data architecture for enhanced analytics and performance.
Other
- Bachelor’s degree in engineering or related field; Masters or MBA in related field preferred.
- Previous leadership experience required.
- Advanced to expert knowledge of general Financial Services or Banking preferred.
- Advanced to expert knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.
- Advanced speaking and writing communication skills.
