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Senior Data Architect and Engineer

2 months ago

Quincy, Massachusetts, United States State Street Full time

About the Role

We are seeking a highly skilled Data Architect and Engineer to join our team at State Street. As a key member of our Global Technology Services (GTS) team, you will play a crucial role in driving our digital transformation and expanding business capabilities using industry best practices and advanced technologies.

Key Responsibilities

  • Design, develop, and maintain data pipelines to efficiently collect, transform, and load high volumes of data from various sources.
  • Develop and optimize data models and schema for analytical and operational use cases.
  • Establish data quality standards and best practices, implement data governance processes, and ensure data integrity, security, and compliance.
  • Create visual representations of data to help business and organization understand complex information.
  • Work closely with infrastructure and DevOps teams to ensure the reliability, performance, and scalability of our data infrastructure.
  • Build data integrations between on-prem/cloud-based systems.
  • Monitor and troubleshoot issues in production environments.
  • Drive continuous improvement initiatives to optimize performance, reliability, and scalability of applications.
  • Mentor and coach team members on design, architecture, best practices, and development methodologies.
  • Evaluate new technologies, frameworks, and tools in the data engineering space to drive innovation and improve data processing capabilities.

Requirements

  • Good hands-on experience in Scala/Python with strong experience in Spark Scala/PySpark and Spark SQL for data processing.
  • Hands-on experience in SQL, PL/SQL, Unix Shell Scripting, Autosys/Airflow.
  • Experience with relational databases such as Oracle, PostgreSQL, as well as NoSQL databases.
  • Data integration techniques and tools, including APIs and data streaming.
  • Strong analytical and problem-solving skills, with the ability to identify and resolve issues in data pipelines and systems.
  • Experience with Agile software development methodology and version control systems like GitHub.
  • Expertise in Data Modeling and DB design with skills in performance tuning.
  • Support existing data platforms and products in production for any critical issues and provide resolution fixes.
  • Good communication skills and the ability to collaborate well with different teams, stakeholders, and vendors.
  • Knowledge of Azure-based data storage and processing services, DevOps, and containerization and orchestration technologies such as Docker and Kubernetes is a plus.
  • Excellent work ethics with the ability to work independently.
  • Experience in the banking domain is preferred.

What We Value

  • Experienced, fully competent in own area and working globally.
  • Shares own expertise with others; will coordinate activities of others/the team.
  • Completes own role independently or with minimal supervision/guidance.
  • Strong written and verbal communication skills. Experience writing, reviewing technology documents, including user guides.

Education and Preferred Qualifications

  • Bachelor's degree in technology or equivalent.
  • At least 5+ years of related professional experience.