Senior Data Engineering Lead

State Street

Confirmed live yesterday Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
Quincy, MAPrinceton, NJBoston, MABurlington, MA
Employment
Full-time
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $170k
$114k $225k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$214,000.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 352 open roles on FindRole.

Listed pay typically runs $110,000–$188,750 across 168 roles with salary data.

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At a glance

TL;DR · Senior Data Engineering Lead

The Sr. Data Engineering Lead will join a global team to develop, maintain, and optimize data pipelines for large-scale data acquisition, storage, and transformation. This role involves migrating on-prem applications to the cloud while building new data applications and managing infrastructure in Azure, including DataLake, DataWarehouse, and Synapse. Key responsibilities include designing ELT/ETL processes, creating data models, and ensuring data integrity across Databricks Delta Lake. The candidate must possess strong expertise in Bigdata technologies, SQL, and programming languages like Scala or Java. Required skills include experience with Azure Synapse Analytics, Azure Data Factory, Snowflake, and version control via Git. The role focuses on solving complex data engineering problems within the financial industry by streamlining data imports and optimizing database performance for downstream analysis.

What you'll do

  • Design, develop, and maintain data pipelines in Azure for ingesting and transforming data into Databricks Delta Lake.
  • Implement efficient ELT/ETL processes to clean, aggregate, and enrich raw data for downstream consumption.
  • Design and implement efficient data models and database schemas for structured and unstructured data.
  • Monitor data pipelines, troubleshoot issues, and ensure data integrity and security across all systems.
  • Implement data quality controls and validation processes to identify and rectify data anomalies.
  • Identify performance bottlenecks and optimize queries, data structures, and infrastructure configurations for scalability.
  • Manage data infrastructure in Azure, including Data Lake, Data Warehouse, and Synapse.
  • Document data engineering processes, data flows, and system configurations for the development team.

What we're looking for

  • 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 focusing on designing and implementing data solutions on Azure Databricks.
  • 8+ years of experience on cloud-based development including Azure Services, Azure Devops, Kubernetes, and Docker.
  • Strong proficiency in SQL and programming languages such as Scala or Java.
  • Hands-on experience with Azure services including Synapse Analytics, Data Factory, and SQL Database.
  • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect (preferred).

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