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Senior Data Engineering Lead, VP
State Street. Develop, maintain, and optimize data pipelines and systems supporting data acquisition, storage, transformation, and analysis .
Posted 9/16/2026full-timeQuincy • New Jersey • United StatesSenior💰 $120,000 - $202,500 per yearWebsite
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 data solutions, ETL/ELT processes, and data modeling. Proficient in ensuring data quality, security, and compliance while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Azure Data EngineeringETL/ELT ProcessesSQL ProficiencyAzure Databricks SolutionsData Pipeline Development
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 ModelingSQLScalaJavaData WarehousingDimensional ModelingData Quality ControlsData Governance
Soft Skills
Effective CommunicationProblem SolvingMultitaskingTeam CollaborationQuick Learning
Tools & Technologies
Azure Data FactoryAzure Synapse AnalyticsAzure SQL DatabaseDatabricks Delta LakeKubernetesDockerGitSnowflake
Certifications & Qualifications
Azure Data Engineer AssociateAzure Solutions Architect
Industry Keywords
Big DataCloud DevelopmentFinancial IndustryAgile DevelopmentData Security
Tech Stack
Tools & technologiesAzureCloudDockerETLJavaKubernetesOracleScalaSQL
About the role
Key responsibilities & impact- Develop, maintain, and optimize data pipelines and systems supporting data acquisition, storage, transformation, and analysis
- Design and maintain Azure data pipelines for ingesting, transforming, and loading data into Azure data lakes and Databricks Delta Lake
- 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
- Migrate existing on-premises applications to the cloud, preferably Azure
- Monitor data pipelines, troubleshoot issues, and ensure data quality, integrity, and security
- Implement data quality controls, validation processes, governance standards, and policies
- Protect sensitive data and address security vulnerabilities and privacy compliance risks
- Collaborate with analysts, data scientists, software engineers, operations teams, and other stakeholders to translate requirements into technical solutions
- Document data engineering processes, data flows, and system configurations
- Support development teams by managing database and server instances, tuning complex queries, and managing Azure Data Lake, Data Warehouse, and Synapse infrastructure
- Stay current with data engineering technologies and identify opportunities to improve data infrastructure
- Work with globally situated team members
Requirements
What you’ll need- Bachelor’s Degree level qualification in a computer or IT related subject
- 10+ years of overall IT industry experience
- 8+ years of overall Big Data pipeline experience
- 8+ years of experience as a Data Engineer focused on Azure Databricks data solutions
- 8+ years of cloud-based development experience, including Azure Services, Azure DevOps, Kubernetes, and Docker
- Hands-on experience with Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Azure SQL Database
- Strong experience in data engineering, data pipeline development, ETL/ELT processes, and data modeling
- Strong proficiency in SQL and experience with Scala or Java
- In-depth knowledge of SQL and relational/non-relational databases such as Snowflake, SQL Server, and Oracle
- Knowledge of data warehousing, dimensional modeling, and best practices
- Experience in a multi-developer environment using version control such as Git
- Experience with Snowflake is a plus
- Azure Data Engineer Associate or Azure Solutions Architect certification is a plus
- Experience working in the financial industry
- Experience with agile development methodology
- Effective written and oral professional communication
- Ability to multitask, learn quickly, and solve problems
- Ability to work independently and as part of a team
- Onsite availability four days per week and remote work one day per week
- Availability during standard business hours aligned to project and stakeholder needs (8am to 5pm)
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 leave
- Paid sick leave
- Short-term disability
- Family care responsibilities leave
- Employee Assistance Program
- Incentive compensation, including eligibility for annual performance-based awards
- Eligibility for certain tax-advantaged savings plans
- Inclusive development opportunities
- Flexible work-life support
- Paid volunteer days
- Employee networks