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Senior Data Architect

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Saransh Inc
Full Time position
Listed on 2025-12-03
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing, Data Security
Job Description & How to Apply Below
Position: Senior Data Architect (15+ years) - Full Time

Senior Data Architect (15+ years) - Full Time

Role:
Senior Data Architect

Location:

NYC, NY / Jersey City, NJ (Onsite)

Job Type: Full Time

Overview

Senior Data Architect position with 15+ years of experience requested.

Required Skills

Snowflake, AWS, Python, Sigma/Power BI

Responsibilities
  • This position description identifies the responsibilities and tasks typically associated with the performance of the position.
  • Other relevant essential functions may be required.
Must Have
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
  • 15+ years of experience in data architecture, data engineering, or a similar role, with a proven track record of designing and delivering large-scale data solutions.
  • Extensive, hands-on experience with Snowflake, including performance tuning, security best practices, and cost management.
  • Expert-level knowledge of the AWS ecosystem, including S3, EC2, Lambda, Glue, IAM, and networking fundamentals.
  • Advanced programming proficiency in Python for data manipulation, pipeline development, and automation.
  • Demonstrable experience architecting and delivering data solutions for BI and analytics, with direct experience using tools like Sigma and/or Power BI.
  • Crucially, extensive experience and deep domain knowledge of financial services back-office operations, specifically within Risk Management (e.g., trade lifecycle, settlement risk, counter party data, collateral).
  • Expert-level understanding of data architecture patterns (e.g., Data Warehousing, Data Lake, Data Mesh), data modeling, and data governance principles.
  • Must be based in or willing to relocate to the New York City metropolitan area.
Preferred Qualifications
  • Deep, practical experience with data security principles and implementation, including data encryption (at-rest, in-transit), tokenization, and managing Material Non-Public Information (MNPI).
  • Experience with data transformation tools like dbt (Data Build Tool).
  • Familiarity with infrastructure-as-code (IaC) tools such as Terraform or Cloud Formation.
  • Knowledge of streaming data technologies (e.g., Kafka, Kinesis).
  • Strong understanding of financial instruments across equities, fixed income, and derivatives.

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Position Requirements
5+ Years work experience
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