AWS Data Engineering Solution Architect (10+ years) (Financial Domain)

Job Title: AWS Data Engineering Senior Solution Architect (Financial Domain)

Job Overview

Lead the architecture and delivery of end-to-end AWS data engineering solutions for financial services

clients. Partner with cross-functional teams to design, build, and optimize data pipelines, data lakes,

and analytics platforms tailored for financial use cases including risk, compliance, and real-time

reporting.

Key Responsibilities

 Architect scalable, secure AWS-based data platforms (S3, Redshift, Glue, EMR, Lambda, Lake

Formation) for large-scale financial data. [1][2]

 Analyze client requirements, design technical solutions, and create reference architectures for

banking, insurance, fintech, and capital markets clients.

 Lead client workshops, gather business and data requirements, and translate them into

technical cloud architectures.

 Build complex ELT/ETL pipelines using PySpark, AWS Glue, and Redshift tailored for financial

data sources.

 Ensure security, compliance (e.g., RBI, IRDAI, GDPR), and data governance frameworks in all

solutions.

 Design data lifecycle management, retention, quality, and audit strategies using native AWS and

partner tools.

 Collaborate with software engineers, data scientists, and DevOps teams to optimize compute,

storage, and analytics performance.

 Provide technical leadership, mentoring, and best practice guidance to project teams and client

stakeholders.

 Prepare technical documentation, solution presentations, and whitepapers.

 Support sales and pre-sales activities through solution demos, proposals, and client

engagements.

 Stay abreast of advances in financial technology, data privacy laws, and AWS services.

Required Skills & Experience

 Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.

 10+ years’ experience in data engineering/architecture; 5+ years on AWS data stack. [2][3]

 Hands-on expertise in S3, Redshift, Glue, EMR, Lambda, Athena, Lake Formation.

 Deep understanding of financial data domains: transactional data, security master, risk,

compliance, reporting, AML/Fraud analytics.

 Knowledge of DataOps, DevOps, CI/CD tools and automation on AWS.

 Proven track record delivering large-scale data platforms in banking, insurance, or capital

markets environments.

 Strong interpersonal, communication, client-facing skills; stakeholder management.

 AWS Certified Solutions Architect – Professional (preferred).

 Experience with Python/PySpark, SQL, and data warehousing best practices.

 Familiarity with Kafka, Kinesis, or other streaming platforms is a plus.

Preferred Qualifications

 Experience in regulatory/compliance-driven environments.

 Prior leadership in cloud modernization/transformation for BFSI clients in India.

 Experience with third-party compliance and data governance tools.