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.