Senior Data Architect (15+ years) - Full Time

Saransh Inc; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm is seeking a Senior Data Architect based in Jersey City, NJ. The role requires 15+ years of experience in data architecture and strong skills in Snowflake, AWS, and Python. Responsibilities include designing large-scale data solutions and ensuring data governance. This position offers a full-time contract and is onsite in the NYC area.

Qualifications

• 15+ years of experience in data architecture or engineering.
• Proven track record of designing and delivering large-scale data solutions.
• Extensive experience with Snowflake, performance tuning, and cost management.
• Expert-level knowledge of AWS ecosystem including S3 and EC2.
• Proficiency in Python for data manipulation and pipeline development.
• Experience with BI tools like Sigma and Power BI.

Responsibilities

• Identify responsibilities and tasks associated with the position.
• Perform essential functions required for the role.

Skills

Snowflake

AWS

Python

Sigma/Power BI

Education

Bachelor's or Master's degree in Computer Science

Tools

dbt (Data Build Tool)

Terraform

CloudFormation

Kafka

Kinesis

Job description

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, counterparty 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 CloudFormation.
• Knowledge of streaming data technologies (e.g., Kafka, Kinesis).
• Strong understanding of financial instruments across equities, fixed income, and derivatives.

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