AWS Data Architect

AWS Data Architect – NatWest Group (BFSI)

Job Title

AWS Data Architect

Client

NatWest Group

Location

PAN India

Experience

8 – 12 Years

Notice Period

Immediate Joiners / 0-30 Days Preferred

Industry Domain

Banking, Financial Services & Insurance (BFSI)

About the Role

We are seeking an experienced and highly skilled AWS Data Architect to join a strategic data transformation initiative for a leading global banking organization. The ideal candidate will be responsible for designing, architecting, and governing enterprise-scale cloud data solutions on AWS, enabling secure, scalable, and high-performance data platforms that support critical business and regulatory requirements.

The role requires deep expertise in AWS data services, modern data architecture patterns, cloud migration strategies, data governance, and large-scale analytics ecosystems. The candidate will work closely with business stakeholders, solution architects, data engineers, and leadership teams to drive cloud-first data modernization initiatives.

Key Responsibilities

• Design and implement enterprise-grade data architectures on AWS Cloud.
• Define and govern data architecture standards, frameworks, and best practices across the organization.
• Architect scalable Data Lakes, Data Warehouses, and modern Lakehouse solutions.
• Lead cloud migration and modernization programs from legacy/on-premises environments to AWS.
• Design robust ETL/ELT frameworks for ingestion, transformation, and integration of large datasets.
• Establish data governance, metadata management, data lineage, and data quality frameworks.
• Collaborate with business and technology stakeholders to translate requirements into scalable data solutions.
• Ensure data security, compliance, privacy, and regulatory standards are embedded within architecture designs.
• Drive high availability, performance optimization, scalability, and cost efficiency of cloud data platforms.
• Provide technical leadership, mentoring, and architectural guidance to development and engineering teams.
• Support enterprise analytics, reporting, AI/ML, and advanced data consumption use cases.

Mandatory Technical Skills

AWS Cloud & Data Services

• Amazon S3
• AWS Glue
• Amazon Redshift
• AWS Athena
• AWS Lambda
• AWS EMR
• AWS Lake Formation
• Amazon RDS
• DynamoDB
• AWS IAM
• CloudFormation

Data Architecture & Modeling

• Enterprise Data Architecture
• Data Lake Architecture
• Data Warehouse Design
• Dimensional Data Modeling
• Logical and Physical Data Modeling
• Data Integration Architecture
• Master Data Management (MDM)
• Metadata Management
• Data Governance Frameworks

Big Data Technologies

• Apache Spark
• PySpark
• Hadoop Ecosystem
• Kafka (Preferred)

Databases & Querying

• SQL
• Oracle
• PostgreSQL
• Snowflake (Preferred)

Programming & Scripting

• Python
• SQL
• Shell Scripting

DevOps & Infrastructure as Code

• Terraform
• Jenkins
• Git
• CI/CD Pipelines

Preferred Qualifications

• Experience working within Banking, Financial Services, or Capital Markets organizations.
• Strong understanding of security, compliance, risk, and governance requirements in regulated environments.
• Hands-on experience building enterprise-scale cloud-native data platforms.
• Experience supporting AI/ML and advanced analytics data ecosystems.
• AWS certifications such as:
• AWS Certified Solutions Architect – Professional
• AWS Certified Data Analytics – Specialty
• Experience working in Agile/Scrum delivery environments.

Required Experience

• 8 to 12 years of overall IT experience.
• Minimum 4+ years of hands-on AWS Data Architecture experience.
• Proven experience designing and implementing large-scale cloud data solutions.
• Strong expertise in Data Lake, Data Warehouse, and modern data platform architectures.
• Experience with cloud migration, modernization, and data transformation initiatives.
• Excellent stakeholder management, communication, and leadership skills.

Candidate Profile

The ideal candidate should demonstrate:

• Strong architectural and problem-solving capabilities.
• Expertise in designing scalable, secure, and high-performing AWS data ecosystems.
• Ability to work directly with business stakeholders and executive leadership.
• Experience delivering enterprise data modernization programs.
• Strong understanding of data governance and regulatory compliance standards.
• Immediate availability or notice period within 30 days.

Why Join This Opportunity…