KONNECTINGTREE INC

Compensation

Full Description

Teck Stack: AWS Services, Medallion Architecture, Kafka & Spark, Finance & Capital Markets, Semantic modeling 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. 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. 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.