Snowflake Data Architect (Maestro, Snowflake, Data Architecture, Banking )
ClifyX, INC
Stamford, CT
Apply
JOB DETAILS
SKILLS
Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Architectural Analysis, Banking Services, Best Practices, Cloning, Cloud Computing, Data Analysis, Data Management, Data Mart, Data Modeling, Data Quality, Data Warehousing, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Identify Issues, Industry Standards, JSON, Oracle PL-SQL, Performance Tuning/Optimization, Python Programming/Scripting Language, Requirements Management, SQL (Structured Query Language), Snowflake Schema, XML (EXtensible Markup Language)
LOCATION
Stamford, CT
POSTED
30+ days ago
Job Description Must Have Technical/Functional Skills
Design, develop, and maintain ETL/ELT pipelines using Snowflake, SQL, Python, and/or cloud services preferably AWS Build and optimize data models (staging, warehouse, Datamarts) using best practices such as micro partitioning, clustering, and performance tuning. Develop and manage data ingestion workflows from structured and semi structured sources (JSON, Parquet, XML, APIs, etc.). Implementation of business requirements using Snowflake features such as Streams, Tasks, Time Travel, Zero Copy Cloning, and Snowpipe for automated data loads. Collaborate with Data architects, analysts, and business stakeholders to translate requirements into scalable technical solutions. Monitor and Troubleshoot pipelines for failures and issues ensuring data quality and integrity. Document data flows, transformations, and technical processes for maintainability and knowledge sharing Excellent analytical skills and strong understanding of SQL/PLSQL Job scheduling and orchestration using industry standard tools
Roles & Responsibilities
" Hands-on experience with Cloud based Database, preferably Snowflake " Excellent SQL / PL SQL skills " Basic understanding on AWS " Experience on orchestration / scheduling tool, preferably Tidal " Experience on Python is an advantage " Working experience on Data Warehousing and Modeling " Basic understanding of Banking terminology