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State Street

Holds assets for institutions and runs index funds

Data Analytics Snowflake Technical Engineer AVP - Data Platform Engineering

Data EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Experience working with Snowflake and at least 5 years of experience in Data Analytics and Integration projects.
  • Prior experience implementing a Snowflake cloud data warehouse end to end on AWS and Azure; GCP experience is optional.
  • Expertise in Snowflake advanced concepts, including resource monitors, role-based access control, virtual warehouse sizing, query performance tuning, zero-copy cloning, time travel, and cost governance, with the ability to guide use of these features.
  • Knowledge of Snowflake data modeling, ELT using Snowflake SQL, complex stored procedures, and standard data warehouse and ETL concepts.
  • Experience developing and managing CI/CD pipelines using Git repositories and DevOps for infrastructure-as-code deployments with Terraform, Ansible, Python, or similar tools.
  • Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, and big data migration techniques using scripting such as Python or industry-standard tools such as GoldenGate.
  • Experience migrating data from relational database management systems to the Snowflake cloud data warehouse.
  • Strong understanding of relational data stores and optionally NoSQL data stores, including star and snowflake schemas and dimensional modeling.
  • Experience with data security, data access controls, and design, including implementing best practices based on organizational policies and requirements while maintaining ease of use.
  • Experience with AWS and Azure platform-as-a-service offerings and data storage and management technologies such as S3 and ADLS.
  • Proficiency reviewing complex SQL code to tune, troubleshoot, and resolve performance challenges in the environment or applications.
  • Ability to resolve complicated data-pipeline problems proactively and as they arise, working across infrastructure, platform, and application domains.
  • Strong written communication skills and effective, persuasive written and oral communication.
  • Critical-thinking and problem-solving skills, with openness to discussing potential options.
  • Knowledge of the software development life cycle, including development, testing, and deployment of application modules.
  • Ability to work independently in a fast-paced development environment.
  • Working knowledge of Databricks.

Responsibilities

  • Plan, design, develop, and maintain data architecture, data models, and best-practice standards for Data Analytics and Integration projects in Snowflake.
  • Incorporate new features and ensure all subject areas are modeled to integrate with existing structures.
  • Create and continuously enhance documentation for deployments and best practices related to implementing data architectures, data flows, and data models in the platform.
  • Develop and maintain automation that enables self-service and management capabilities of the platform as part of the operating model.
  • Complete multiple complex technical projects and create high-level solution designs and architecture, including infrastructure design and deployment diagrams.
  • Own technical solutions from design and architecture through project delivery, navigate complex use cases, and provide guidance on fit-for-platform.
  • Gather end-user requirements and write technical documentation.
  • Work closely with application development teams to understand business needs, capture requirements, identify pain points, and propose solutions to support business growth.
  • Manage pipelines using Terraform scripts to deploy resources.
  • Provide engineering analysis and support for creating Snowflake accounts and onboarding projects while enforcing enterprise security and compliance standards.
  • Provide administrative support in collaboration with the vendor to address environment issues.
  • Identify automation needs and propose solution options.
  • Work with production management and cloud teams to analyze and deliver solutions for database-related automation.
  • Lead DevOps and automation resources in delivering self-service capabilities.

Desired Qualifications

  • Snowflake cloud data warehouse Architect certification.

About the Company

State Street

Holds assets for institutions and runs index funds

State Street holds and services investments for pension funds, insurers, fund companies, and other large institutions, and it also runs index funds through State Street Investment Management. It launched the first US-listed exchange-traded fund, the SPDR S&P 500 ETF Trust, in 1993, and in 1924 it became custodian of the first US mutual fund. As a custody bank, it safekeeps clients' stocks and bonds, completes their trades, calculates what their funds are worth, and lends their securities to other investors. It earns fees on the assets it services and manages, plus income from currency trading and from interest on client cash. State Street traces its roots to a bank chartered in 1792 and is based in Boston, Massachusetts.

Company size
10,001+
Company stage
IPO
Headquarters
Boston, MA
Founded
1792

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