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Staff Engineer I – Data Engineer
Western Alliance Bank. Serve as a subject matter expert in Enterprise Data & Analytics and adjacent domains .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data engineering solutions using Azure Data Factory, Azure Synapse Analytics, and ETL processes, while ensuring compliance with regulatory standards. Proven ability to lead cross-functional teams and mentor data professionals in a collaborative environment.
Highest-signal resume keywords
Azure Data FactoryETL Concepts and ProcessesData Lifecycle ManagementData GovernanceAzure Certifications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringDatabase PrinciplesData DesignT-SQLPL/SQLSpark SQLData Pipeline DevelopmentTest Driven DevelopmentData ExplorationData Profiling
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
Azure Synapse AnalyticsAzure DevOpsPower BIInformaticaAzure Data LakeAzure Logic AppsDatabricksSnowflake
Certifications & Qualifications
Azure FundamentalsAzure Data EngineerAzure Data ScientistAzure DevOps Engineer
Industry Keywords
Financial ServicesBankingRegulatory ComplianceData QualityData CatalogData LineageAgileSAFeScrumIT Governance
Tech Stack
Tools & technologiesAzureCloudETLInformaticaRDBMSSnowflakeSparkSQLTableau
About the role
Key responsibilities & impact- Serve as a subject matter expert in Enterprise Data & Analytics and adjacent domains
- Design, build, and implement critical components of the enterprise data platform
- Identify development and support requirements and own large, complex design initiatives
- Collaborate with data stewards, analysts, engineers, enterprise architects, and business stakeholders
- Develop solutions supporting complete data lifecycle management
- Mentor and guide team members and other data professionals
- Design, develop, and deploy data engineering solutions with Azure Data Factory, Synapse Analytics, and Azure DevOps
- Support regulatory reporting and LFI strategy
- Develop reusable data engineering solution designs for execution by data engineering teams
- Develop ETL and data pipeline capabilities across enterprise and partner systems
- Implement Azure DevOps CI/CD pipelines for data solutions
- Apply Test Driven Development to data solutions
- Lead implementation of Data Governance and Enterprise Architecture outcomes, recommendations, and designs
- Lead migration of multidimensional cubes to tabular models
- Use Power BI to design, deploy, and visualize tabular cubes
- Perform data exploration and profiling using Excel and Informatica
- Participate in data architecture decisions
- Collaborate with product owners and business stakeholders to understand requirements and operational processes
- Implement quality and compliance by design
- Review Azure Data Factory pipelines, Synapse artifacts, and scripts, providing feedback on quality standards
Requirements
What you’ll need- 5+ years’ experience with data engineering, specifically ETL concepts and processes, enterprise data warehouse capabilities, database principles, and related tools and technologies
- Strong experience preferably with Azure Data Factory, Azure Synapse Analytics, and/or Databricks
- 2+ years’ experience designing, implementing, and supporting cloud data solutions
- Experience with Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps strongly preferred
- Bachelor’s degree in engineering or related field
- Advanced level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, or Spark SQL
- Advanced level experience in conceptual, logical, and physical data design
- Azure certifications such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer preferred
- Familiarity with SAS, Tableau, or Power BI
- Familiarity with multi-cloud data management and transformation platforms or tools such as Databricks and Snowflake
- Experience in Agile, SAFe, and/or Scrum preferred
- Experience integrating with data quality, data catalog, and data lineage tools preferred
- Advanced to expert knowledge of Financial Services or Banking preferred
- Advanced to expert knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices
- Advanced to expert experience leading cross-functional teams and managing multiple projects simultaneously
- Established expertise in one or more key bank domains: Deposits, Loans, Operations, or Reporting
- Ability to collaborate with regulatory partners such as the CFPB, OCC, and FRB through audits and collaboration efforts
- Advanced to expert familiarity with IT capability models, applications, and infrastructures
- Experience designing, enhancing, and complying with IT governance frameworks
- Advanced speaking and writing communication skills
- May require up to 25% travel
Benefits
Comp & perks- Competitive salaries
- An ownership stake in the company
- Medical and dental insurance
- Time off
- 401k matching program
- Tuition assistance program
- Employee volunteer program
- Wellness program
- Opportunity to bolster business knowledge and gain hands-on experience to help grow your career