Sr. Principal Consultant- Data Architect

RZS Recruitment

New York (NY)

Hybrid

USD 110,000 - 120,000

Full time

14 days+
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Job summary

A recruitment agency is seeking a Sr. Principal Consultant- Data Architect in New York City. This full-time hybrid role requires 10+ years of experience, focusing on data transformation projects. Key responsibilities include designing data flows, executing proofs of concept, and analyzing technologies like Databricks and Snowflake. Candidates must have a Bachelor's degree and strong skills in Pyspark, Python, Hadoop, and related tools. The position offers a salary range of $110,000 to $120,000, but does not provide relocation assistance.

Qualifications

  • 10+ to 15 years experience required.
  • Mid-Senior level position.
  • No management experience necessary.
  • Willingness to travel is not required.
  • No security clearance required.

Responsibilities

  • End to end design for data transformation from source to target.
  • Execute POCs and create frameworks.
  • Assist implementation team if required.
  • Analyze and work with additional technologies.

Skills

Pyspark
Python
Hadoop
Impala
Hive

Education

Bachelor's Degree

Tools

Databricks
Snowflake
Scala
Spark

Job description

About the job Sr. Principal Consultant- Data Architect

Location: New York City, New York, United States
Office space available at location listed
It is a Hybrid Role &need local candidates.
Industry: Financial Services - Commercial Banking
Job Category: Information Technology - Developer

Compensation
Base Salary - USD $110,000 to $120,000
Full-time
Benefits - Full
Relocation Assistance Available - No
Interview Travel Reimbursed - No

Candidate Details
10+ to 15 years experience
Seniority Level - Mid-Senior
Management Experience Required - No
Minimum Education - Bachelor's Degree
Willingness to Travel - Never
Security Clearance Required: No
Visa Candidate Considered: No

Responsibilities
  • End to end design for data transformation from source (jsons, tables, APIs etc) to target
  • Execute POCs and create frameworks.
  • Assist 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
  • Pyspark
  • Python
  • Hadoop
  • Impala
  • Hive
Preferred Qualifications/ Skills
  • Databricks
  • Snowflake
  • Scala
  • Spark
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