DATA ARCHITECT

StaffWorthy; New York (NY); Hybrid; USD 80,000 - 100,000; Full time

Job summary

A leading financial services firm in New York is seeking an experienced Data Architect for a hybrid role. The candidate will be responsible for designing data transformations, executing proofs of concepts, and collaborating with implementation teams. A Bachelor's Degree and over 15 years of experience are required, alongside proficiency in Py Spark, Python, and Hadoop, with a strong preference for knowledge in Databricks and Snowflake. The compensation ranges from $80,000 to $100,000 annually.

Qualifications

• 15+ years' experience in a relevant field.
• Mid-Senior Management level candidate.
• Willingness to travel occasionally.

Responsibilities

• Design data transformation from source to target.
• Execute proof of concepts and create frameworks.
• Assist the implementation team as required.
• Analyze and integrate additional technologies.

Skills

Py Spark

Python

Hadoop

Impala

Hive

Education

Bachelor's Degree

Tools

Databricks

Snowflake

Graph DB

Scala

Spark

Job description

Job Overview

Data Architect at a leading financial services firm. Hybrid role in New York, NY.

Responsibilities

• End-to-end design for data transformation from source (JSONs, tables, APIs etc.) to target.
• Execute POCs and create frameworks.
• Assist the implementation team if required to deliver the solution.
• Analyze and work with additional technologies like Databricks, Snowflake, Graph DB etc. over the course of the engagement.

Minimum Qualifications

• Py Spark, Python, Hadoop, Impala, Hive

Preferred Qualifications

• Databricks, Snowflake, Scala, Spark

Compensation

Approximate annual base compensation range is $80,000 to $100,000.

Candidate Details

15+ years' experience – Mid-Senior Management level. Bachelor's Degree required. Willingness to travel occasionally.

Equal Opportunity Employer

We are an Equal Opportunity Employer and consider all applicants for all positions without regard to race, color, religion, or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.