Sr. Platform Data Architect

CyberCoders; Town of Florida (NY); Remote; USD 15,000 - 145,000; Full time

Job summary

A leading software company in the United States is seeking a Sr. Platform Data Architect to lead the development of scalable data architecture solutions. The ideal candidate will have over 5 years of experience in data engineering within enterprise environments, as well as strong skills in SQL, Python, and AWS databases. Benefits include health insurance, remote flexibility, and a comprehensive PTO policy.

Benefits

Health insurance

Parental leave

Home office stipend

Remote/hybrid flexibility

PTO

401k

Qualifications

• 5+ years of experience in data engineering, focusing on enterprise-level solutions.
• Proficient in SQL and Python, with knowledge of other scripting languages.
• Experience with data lakes, ETL processes, and data warehousing.

Responsibilities

• Design and implement data architecture solutions.
• Develop and maintain data models and ETL processes.
• Collaborate with teams to define data requirements.

Skills

Data engineering in large enterprises

Multi-tenant data architecture

AWS database

Scripting languages (Python, C#, Java)

ETL tools

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

AWS Lake Formation

EMR

SSIS

Alteryx

Talend

RDS Aurora

Redshift

Athena

Neptune

Job description

Overview

Title: Sr. Platform Data Architect
Location: REMOTE or in Fort Lauderdale, FL
Salary: $15k-$145k (depends on experience) + benefits
Requirements: 5+ years data engineering in large, enterprise, publicly traded companies. Multi-tenant data architecture, AWS database, skilled in scripting languages (Python, C#, Java, etc) and ETL tools a plus

Position Overview

We are an established and growing software/lending service specialized in small business lending. Due to growth, we are now seeking a Sr. Platform Data Architect to lead the end-to-end development of large datasets across platforms. The successful candidate will be responsible for architecting scalable data solutions that support our business objectives, ensuring data integrity, security, and performance.

Key Responsibilities

• Design and implement data architecture solutions that support business requirements and scalability.
• Develop and maintain data models, data lakes, and ETL processes to ensure efficient data flow and accessibility.
• Collaborate with cross-functional teams to define data requirements and ensure alignment with business goals.
• Implement best practices for data security, privacy, and access controls across data platforms.
• Optimize existing data systems and provide recommendations for enhancements and upgrades.
• Monitor and evaluate data platform performance, troubleshooting issues as they arise.
• Lead code reviews and ensure adherence to coding standards and guidelines.
• Stay up-to-date with industry trends and emerging technologies in data architecture and engineering.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering, AWS database (AWS Lake Formation and EMR is a plus).
• Strong proficiency in SQL and Python; experience with other scripting languages is a plus (Java, C#, BASH, Typescript, etc).
• Solid experience with data lakes, ETL processes and tools (SSIS, Alteryx, Talend), and data warehousing concepts.
• Familiarity with technologies like RDS Aurora, Redshift, Athena, Neptune.
• Experience with distributed systems and data security/privacy practices.
• Knowledge of data streaming technologies such as Kinesis and Firehose is a plus.
• Familiarity with non-relational databases, data stores.
• Experience in Agile methodologies and, code reviews, build processes, testing and source management practices.

Benefits

• Health insurance
• Parental leave
• Home office stipend
• Remote/hybrid flexibility
• PTO
• 401k