AWS Data Architect with Snowflake

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

AWS Services
Snowflake
Medallion Architecture
Kafka & Spark
Banking
Semantic modeling

Job Details

Position Overview:

We are looking for a seasoned AWS Data Architect with deep expertise in cloud-native data platforms and proven experience in banking domain. The ideal candidate will design and implement scalable, secure, and high-performance data solutions that support trading, risk, compliance, and analytics functions.

Key Responsibilities:

  • Design and implement data lakehouse solutions on AWS using Medallion Architecture (Bronze/Silver/Gold layers).
  • Build and optimize real-time and batch data pipelines leveraging Apache Spark, Kafka, and AWS Glue/EMR.
  • Architect storage and processing layers using Parquet and Iceberg for schema evolution, partitioning, and performance optimization.
  • Integrate AWS data services (S3, Redshift, Lake Formation, Kinesis, Lambda, DynamoDB) into enterprise solutions.
  • Ensure data governance, lineage, cataloging, and security compliance in line with financial regulations (Basel III, MiFID II, Dodd-Frank).
  • Partner with business stakeholders (trading, risk, compliance) to translate requirements into technical architecture.
  • Provide technical leadership and guidance to engineering teams.

Required Skills & Experience:

  • Core Technical Expertise
  • Strong hands-on skills in AWS Data Services (S3, Redshift, Glue, EMR, Kinesis, Lake Formation, DynamoDB).
  • Expertise in Apache Kafka (event streaming) and Apache Spark (batch and streaming).
  • Proficiency in Python for data engineering and automation.
  • Strong knowledge of Parquet, Iceberg, and Medallion Architecture.
  • Banking Experience is required
  • Strong experience with Snowflake is required
  • Experience with trading systems, market data feeds, risk analytics, and regulatory reporting.
  • Familiarity with time-series data, reference/master data, and real-time analytics.
  • Preferred
  • Exposure to Delta Lake, DBT, Databricks, or Snowflake.
  • AWS Certifications (Solutions Architect Professional, Data Analytics Specialty).

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Engineering, or related field.
  • 10+ years of IT experience with 5+ years in data architecture (3+ years on AWS).
  • Mandatory exposure to Finance and Capital Markets.

Why Join Us:

  • Build next-generation financial data platforms on AWS.
  • Work on high-impact, real-time trading and risk solutions.
  • Collaborate with global teams of finance and technology leaders.
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