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Data Architect
Ness Digital EngineeringUnited States, United Statesfull_timeVerifiedPosted 29 Sept 2025
💰 $170,000/yr($150,000/yr – $170,000/yr)
About the role
Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit www.ness.com We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term technology goals. Our culture is open, transparent, challenging, and fun. We hire smart, self-starters who thrive in an open-ended environment to figure out what needs to be done and take ownership in delivering quality results
AWS Data Architect (Finance & Capital Markets)Chicago, IL (2-3 days onsite a week) 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:
AWS Data Architect (Finance & Capital Markets)Chicago, IL (2-3 days onsite a week) 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.
- 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).
- 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.
- 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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