Staff Engineer II - Senior Data Engineer

Staff Engineer II
- Senior Data Engineer

Location: Block 23

As a Senior Data Engineer, you will serve as a Subject Matter Expert in the Enterprise Data & Analytics domain, as well as in adjacent areas, ensuring that data engineering solutions are safe, secure, compliant, and reliable. You will be responsible for designing, building, and implementing critical components of the enterprise data platform, aligning with the strategic data and analytics objectives of Western Alliance Bank.

In this role, you will identify development and support requirements and take ownership of large, complex design initiatives, playing a crucial part in supporting project deliverables.

As a Senior Data Engineer, you will be a pioneer in our modern data platform, collaborating directly with data stewards, data analysts, data engineers, enterprise architects, and business stakeholders to refine requirements and shape the objectives of enterprise data solutions. You will be part of a high-performing, centralized team of data engineers, developing solutions that address the complete data lifecycle management needs of our enterprise data platforms.

Demonstrating exceptional technical expertise, you will also mentor and guide team members, fostering a culture of excellence and continuous learning.

• Desing, develop and deploy data engineering solutions with Azure Data Factory, Synapse Analytics, and Azure Dev Ops 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 Dev Ops 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.
• Utilize Power BI to design, deploy, and visualize tabular cubes, ensuring seamless business intelligence integration and actionable insights.
• Perform data exploration and data profiling with tools such as Excel and Informatica.
• Actively participate in making data architecture decisions.
• Provide technical mentorship to team members and other data professionals.
• Collaborate with product owners and business stakeholders to gain a working understanding of business requirements and operational processes.
• Implement built-in quality and compliance- by-design in all data solutions.
• Review Azure Data Factory pipelines, Synapse artifacts, and other scripts developed by data engineers and provide feedback to ensure all deliverables meet quality standards.

• Bachelor's degree in engineering or related field;
  Masters or MBA in related field preferred.
• 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 Dev Ops 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.
• Certifications within Azure such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure Dev Ops 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.
• Experience in Agile, SAFe, and/or Scrum preferred.
• Experience integrating with data quality, data catalog and data lineage tools preferred.
• Previous leadership experience preferred.
• Intermediate to advanced knowledge of general Financial Services or Banking is preferred.
• Advanced knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.
• Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously. Additional experience with pipeline development and leveraging Azure Dev Ops while working on multiple projects simultaneously.
• Advanced ability to see the big picture and align projects with organizational goals. Capable of leading and motivating cross-functional teams.…