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VP, Software Engineering & Development
State Street. Develop, maintain, and optimize data pipelines and systems supporting acquisition, storage, transformation, and analysis of large data volumes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing data pipelines and systems, with a strong focus on Azure services, data modeling, and ETL/ELT processes. Proficient in ensuring data quality, security, and governance while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Azure Data EngineeringData Pipeline DevelopmentETL/ELT ProcessesSQL ProficiencyData Warehousing Experience
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 Pipeline DevelopmentETL ProcessesData ModelingSQLScalaJavaAzure DatabricksSnowflakeAzure Data FactoryData Governance
Soft Skills
Professional CommunicationProblem SolvingCollaborationMultitaskingIndependence
Tools & Technologies
Azure ServicesCosmosKubernetesDockerData LakeData WarehouseSynapseGITSVNDatabricks Delta Lake
Certifications & Qualifications
Azure Data Engineer AssociateAzure Solutions Architect
Industry Keywords
Financial IndustryData EngineeringData QualityData SecurityAgile DevelopmentDimensional ModelingRelational DatabasesNon-Relational DatabasesData InfrastructureData Transformation
Tech Stack
Tools & technologiesAzureCloudDockerETLJavaKubernetesOracleScalaSQLSubversion
About the role
Key responsibilities & impact- Develop, maintain, and optimize data pipelines and systems supporting acquisition, storage, transformation, and analysis of large data volumes
- Collaborate with analysts, software engineers, operations teams, data scientists, and other cross-functional stakeholders
- Migrate existing on-premises applications to the cloud, preferably Azure
- Create and maintain data applications
- Design, develop, and maintain Azure data pipelines for ingesting, transforming, and loading data into Azure data lakes, Databricks Delta Lake, and Snowflake
- Implement ELT/ETL processes and transformation workflows to clean, aggregate, enrich, and integrate data
- Design and implement data models and database schemas for structured and unstructured data
- Optimize data storage, access, queries, data structures, and infrastructure for performance and scalability
- Use modern data processing and pipeline tools to streamline and automate ETL processes
- Integrate with State Street systems and implement RBAC and ABAC entitlement solutions
- Monitor pipelines, troubleshoot issues, and ensure data quality, integrity, and security
- Implement data quality controls and validation processes
- Define and enforce data governance standards and policies
- Implement security measures and address data security vulnerabilities and risks
- Document data engineering processes, data flows, and system configurations
- Stay current with data engineering trends, tools, and technologies
- Support development teams with multiple database and server instances, complex query tuning, and Azure data infrastructure including Data Lake, Data Warehouse, and Synapse
- Contribute to improving data engineering practices and data infrastructure
Requirements
What you’ll need- Bachelor’s Degree level qualification in a computer or IT related subject
- 12+ years of overall IT industry experience
- 12+ years of overall data pipeline and Data Warehousing experience
- 5+ years of experience as a Data Engineer, focusing on Azure Databricks and Snowflake data solutions
- 5+ years of experience in cloud-based development, including Azure Services, Cosmos, Kubernetes, and Docker
- Hands-on experience with Azure Databricks, Azure Data Factory, Azure SQL Database, and related Azure services
- Hands-on Snowflake experience designing data ingestion pipelines into the Data Warehouse
- Strong experience in data engineering, data pipeline development, ETL/ELT processes, and data modeling
- Strong proficiency in SQL and programming languages such as Scala or Java
- In-depth knowledge of SQL and relational/non-relational databases including Snowflake, Teradata, SQL Server, and Oracle
- Knowledge of data warehousing concepts and dimensional modeling
- Experience in a multi-developer environment using version control such as GIT and SVN
- Azure Data Engineer Associate or Azure Solutions Architect certification is a plus
- Experience working in the financial industry
- Experience with agile development methodology
- Professional written and oral communication skills
- Ability to work independently and collaboratively
- Ability to multitask and solve problems
Benefits
Comp & perks- Retirement savings plan (401K) with company match
- Basic life insurance
- Medical insurance
- Dental insurance
- Vision insurance
- Long-term disability insurance
- Optional additional insurance coverages
- Paid vacation
- Paid sick leave
- Short-term disability
- Paid family care responsibilities leave
- Employee Assistance Program
- Eligibility for annual performance-based awards
- Certain tax-advantaged savings plans
- Inclusive development opportunities
- Flexible work-life support
- Paid volunteer days
- Employee networks