AWS Data Architect (Finance & Capital Markets)

Position Overview : We are looking for a seasoned AWS Data Architect with deep expertise in cloud-native data platforms and proven experience in the Finance and Capital Markets domain.

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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.

Finance & Capital Markets Knowledge 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.