Senior Cloud Data Architect
24 hours ago
FactSet Research Systems is a leading provider of financial information and analytics.
The estimated annual salary for this position is $175,000 - $225,000 based on industry standards in the location.
About the RoleWe are seeking a Senior Cloud Data Architect to join our Data Solutions Engineering team in a major initiative within the Data Solutions business unit.
This is an exciting opportunity to develop a world-class tick data historical database using Big Data tools like Snowflake to service client-facing applications.
You will be responsible for designing and preparing tick data for ingestion into Snowflake, collaborating with internal and external teams to ensure best practices.
Fine-tuning Snowflake database performance by managing partition keys and indexes, minimizing costs, and optimizing data consumption will also be key aspects of this role.
You will build data pipelines for applications, including End-of-Day bulk feeds, on-demand APIs, and Snowflake data sharing.
Improve tick data offerings by researching technologies, loading Level 2 data, and optimizing time-binned data access.
Explore, design, and architect new storage layers and database architectures to outperform Snowflake for managing tick history data.
Lead proof of concept initiatives to evaluate the feasibility, performance, and scalability of alternative solutions.
Design and architect scalable APIs and data connector frameworks.
Mentor junior engineers in design, implementation, and code reviews.
Stay up to date with advancements in Big Data technologies and data warehousing tools.
Ensure adherence to data security, privacy, and compliance standards.
Drive innovation by evaluating emerging tools and technologies.
Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
Demonstrate knowledge of data structures, algorithms, object-oriented programming, and software engineering principles.
Requirements- 10+ years of related work experience with a focus on data engineering and cloud data platforms.
- Experience in building RESTful APIs, data pipelines, and managing bulk data processes.
- Expertise in database architecture, performance tuning, and data ingestion techniques.
- Demonstrated expertise in Python and related scripting languages.
- Strong analytical skills with the ability to make data-driven decisions.
- Experience working with relational databases, Cloud infrastructure, and Snowflake or related technologies.
Experience with finance and financial market data, Big Data technologies, Java, and frameworks like Spring Boot are highly desired.
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