T26-9768;Software Engineering & Development, VP

State Street; Princeton (NJ); Hybrid; USD 130,000 - 213,000; Full time

Benefits offered by this job

401K with company match

Medical, dental, vision insurance

Paid time off (PTO)

Employee Assistance Program

Performance-based incentive

Job summary

State Street is seeking a Data Engineer Lead to architect and optimize Azure-based data pipelines, leveraging Azure Synapse, Databricks, and Snowflake for a hybrid onsite/offsite collaboration in Princeton, NJ. You will drive data quality, governance, and scalable data models while collaborating with cross‑functional teams to deliver robust analytics platforms.

The role requires 12+ years IT experience with 8+ years in data pipelines and data warehousing, and hands-on Azure cloud expertise.

Qualifications

• Must have hands-on experience with Azure services (Synapse, Data Factory, Databricks, Azure SQL Database).
• Strong experience with Snowflake data ingestion pipelines.
• Extensive data engineering experience including ETL/ELT, data modeling and warehouse concepts.
• Proficient in SQL; programming in Scala or Java.
• Knowledge of both relational and non-relational databases; experience with monitoring and governance.

Responsibilities

• Design, develop, and maintain Azure data pipelines for ingestion, transformation, and loading into centralized data lakes, Databricks Delta Lake, and Snowflake.
• Implement efficient ELT/ETL processes and data transformations for clean, enriched data.
• Model databases and schemas for structured and unstructured data, optimizing for performance and scalability.
• Apply modern data processing principles and use pipeline tools to automate ETL tasks.
• Ensure data quality, governance, security, and RBAC/ABAC across systems.
• Collaborate with analysts, data scientists, and engineers to translate data requirements into solutions.
• Monitor pipelines, troubleshoot issues, and enforce data integrity.
• Document data flows and system configurations; stay updated on data engineering trends.

Skills

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Snowflake

SQL

Scala or Java

RBAC/ABAC

Git/SVN

Data Modeling

Data Warehousing

Education

Bachelor’s Degree in Computer/IT

12+ years IT industry experience

8+ years data pipeline & Data Warehousing

5+ years Data Engineer on Azure Databricks & Snowflake

5+ years cloud-based development (Azure, DevOps, Kubernetes, Docker)

Tools

Azure Synapse Analytics

Azure Data Factory

Azure Databricks

Snowflake

SQL

Scala/Java

Databricks Delta Lake

Job description

Who We Are Looking For

ONSITE: Due to the role requirements this job needs to be performed primarily in the office with some flex work opportunities available.

As a Data Engineer Lead, you will be responsible for developing, maintaining, and optimizing data pipelines and systems that support the acquisition, storage, transformation, and analysis of large volumes of data. You will collaborate with cross-functional teams, including analysts, software engineers, and operations teams to ensure the availability, reliability, and integrity of data for various business needs. This role requires strong technical expertise in data engineering principles, database management, and programming skills.

We are looking for candidate with good knowledge on Bigdata technology and strong development experience with Snowflake and Databricks. You will help to migrate existing on‑prem applications to cloud (Azure preferred), create and maintain new data applications relying on experience and judgment to plan and accomplish goals, while working with other globally situated team members.

What You Will Be Responsible For

• Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake and Snowflake as the Data Warehouse. Ensure data quality and integrity throughout the process.
• Implement efficient ELT/ETL processes to ensure data quality, consistency, and reliability. Develop transformation processes to clean, aggregate, and enrich raw data, ensuring it is in the appropriate format for downstream analysis and consumption. Integrate data from diverse sources to provide a unified view of information.
• Design and implement efficient data models and database schemas that support the storage and retrieval of structured and unstructured data. Optimize data storage and access for performance and scalability.
• Implement knowledge of modern data processing principles to streamline data import/transformation processes. Leverage modern data pipeline tools to reduce human attention during ETL process. Ensure the efficiency and reliability of data ingestion and processing.
• Integrate with other State Street systems including on cross systems access and implement appropriate entitlement solutions including RBAC and ABAC.
• Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
• Monitor data pipelines, troubleshoot issues, and ensure data integrity and security.
• Implement data quality controls and validation processes to identify and rectify data anomalies, inconsistencies, and errors. Collaborate with stakeholders to define and enforce data governance standards and policies.
• Identify performance bottlenecks in data pipelines and database systems and optimize queries, data structures, and infrastructure configurations to improve overall system performance and scalability.
• Implement appropriate security measures to protect sensitive data and ensure compliance with data privacy regulations. Monitor and address data security vulnerabilities and risks.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver effective data solutions. Document data engineering processes, data flows, and system configurations.
• Stay updated with the latest trends, tools, and technologies in the field of data engineering. Proactively identify opportunities to improve data engineering practices and contribute to the evolution of data infrastructure.
• Provide support to the development team with managing multiple instances of databases and servers, implementing complex queries with proper tuning, provide input to design impacting data, manage data infrastructure in Azure (DataLake, DataWarehouse and Synapse).

What We Value

• Hands‑on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc.
• Hands‑on experience on Snowflake in designing data ingestion pipelines into the Data Warehouse.
• Strong experience in data engineering, including data pipeline development, ETL/ELT processes, and data modeling.
• Strong proficiency in SQL and experience with programming languages such as Scala, or Java
• In‑depth knowledge of SQL and experience with relational and non‑relational databases such as Snowflake, Teradata, SQLServer, Oracle
• Knowledge of data warehousing concepts, dimensional modeling, and best practices
• Experience working in a multi‑developer environment, using version control (i.e. GIT and SVN)
• Excellent problem‑solving skills and ability to work independently as well as part of a team
• Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect is a plus
• Excellent communication skills and the ability to collaborate effectively with cross‑functional teams

Education & Preferred Qualifications

• Bachelor’s Degree level qualification in a computer or IT related subject
• 12+ years of overall IT industry experience
• 8+ years of overall data pipeline and Data Warehousing experience
  • 5+ years of experience as a Data Engineer, with a focus on designing and implementing data solutions on the Azure Databricks and Snowflake
  • 5+ years of experience on cloud‑based development including Azure Services, Azure Devops, Kubernetes, Docker
  • Experience on ESP is a plus

  Additional Requirements

  • Communicate effectively in a professional manner both written and orally
  • Team player with a positive attitude enthusiasm initiative and self‑motivation
  • Ability to multi‑task energetic fast learner & problem solver
  • Experience of working in the financial industry
  • Experience with agile development methodology

  Work Requirement

  • Onsite 4 days a week in office and one day remote
  • Standard business hours aligned to project and stakeholder needs(8am to 5pm)

  Salary Range

  $130,000 - $212,500 Annual

  The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

  Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long‑term disability, and other optional additional coverages; paid‑time off including vacation, sick leave, short‑term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance‑based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

  For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

  About State Street

  Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

  We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work‑life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

  As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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  Job Application Disclosure

  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

  Job ID: R-797795