Sr. Data Engineering Lead, Onsite, VP

State Street; Quincy (MA); Hybrid; USD 120,000 - 203,000; Full time

Benefits offered by this job

401K with company match

Insurance coverage (medical, dental, &

Job summary

State Street is seeking an experienced Data Engineer to design, develop, and optimize data pipelines in Azure, leveraging Azure Synapse, Data Factory, and Databricks to ingest, transform, and store data across data lakes and warehouses. The role emphasizes data quality, governance, and secure data handling.

You will collaborate with cross-functional teams including data scientists and software engineers to deliver scalable data solutions, with onsite 4 days a week and one day remote, aligning

Qualifications

• Bachelor’s Degree in computer or IT related subject.
• 8+ years of Big Data/Data Pipeline experience.
• 8+ years designing data solutions on Azure Databricks.
• 8+ years cloud development including Azure services, Azure DevOps, Kubernetes, Docker.

Responsibilities

• Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data into centralized Azure data lakes and Databricks Delta Lake.
• Implement ELT/ETL processes to ensure data quality and reliability across sources.
• Design data models and schemas to support structured and unstructured data with scalable storage and access.
• Use modern data processing principles to optimize ingestion and transformation processes.
• Collaborate with data scientists, analysts, and engineers to translate data requirements into technical solutions.
• Monitor pipelines, troubleshoot issues, and enforce data quality and security controls.
• Define and enforce data governance standards and policies.
• Identify performance bottlenecks and optimize queries, data structures, and infrastructure.

Skills

Azure data pipelines

SQL

Scala/Java

Data modeling

ETL/ELT

Databricks

Microsoft Azure services

Education

Bachelor’s Degree in Computer/IT

Tools

Snowflake

SQL Server

Oracle

Git

Kubernetes

Docker

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.

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. 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.
• 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.
• 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, 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)
• 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
• 10+ years of overall IT industry experience
• 8+ years of overall Bigdata data pipeline experience
• 8+ years of experience as a Data Engineer, with a focus on designing and implementing data solutions on the Azure Databricks
• 8+ years of experience on cloud-based development including Azure Services, Azure Devops, Kubernetes, Docker
• Experience on Snowflake is 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

$120,000 - $202,500 Annual

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-783201