Lead Data Engineer
| Company | Western Alliance |
|---|---|
| Location | Dallas, TX, USA, Columbus, OH, USA, Phoenix, AZ, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, MBA |
| Experience Level | Senior, Expert or higher |
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 and/or Databricks.
- Bachelor’s degree in related field required; Masters or MBA in related field preferred.
- 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.
- Experience with design tools as it relates to creating conceptual architecture diagrams and data flow diagrams such as Visio, Archimate, Lucidchart.
- Excellent communication skills both verbal and written.
Responsibilities
- Implement data engineering solutions that satisfy the full data lifecycle including efficient technical hygiene and the use of Azure DevOps for the implementation of the Western Alliance Bank Regulatory Reporting and LFI strategy and roadmap.
- 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.
- Perform data exploration and data profiling with tools such as SSAS.
- 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.
- Implement methods to include unstructured data and big data.
- Review technical plans developed by lower level engineers and analysts to assure quality designs prevail which can support the volumetrics of our business partners objectives.
- Work independently or sometimes with architecture team counterparts to lay out the final documentation required for proper ongoing reference of the given solution, including physical and logical layouts with cross reference to use case models while enforcing standards, as well as assisting in the modification or buildout of procedures that support areas of operations across IT.
Preferred Qualifications
- Familiarity with data science and analytics tools such as SAS, Tableau, PowerBI.
- Familiarity with multi-cloud data management and transformation platforms or tools such as Databricks, Snowflake, Matillion, etc.
- Experience in Agile, SAFe, and/or Scrum is preferred.
- Experience integrating with data quality, data catalog and data lineage tools is preferred.
- Additional Cloud Data certifications with any major cloud provides (Azure, AWS, GCP) is preferred.
- Banking or financial services industry experience or other highly regulated industry experience is preferred.
- Previous leadership experience preferred.
- Advanced to expert knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.