Western Alliance Bank is looking to solve the problem of designing, building, and implementing critical components of the enterprise data platform, aligning with the strategic data and analytics objectives of the company, ensuring that data engineering solutions are safe, secure, compliant, and reliable.
Requirements
- 7+ 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 in Azure Data Factory, Azure Synapse Analytics, and/or Databricks.
- 2+ 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.
- Advanced level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, Spark SQL.
- Advanced level experience in conceptual, logical, and physical data design.
- 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.
- Intermediate to advanced knowledge of general Financial Services or Banking
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 related field required.
- Previous leadership experience preferred.
- Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously.
- Advanced ability to see the big picture and align projects with organizational goals.
- May require up to 25% travel.
