• Design and implement scalable, secure, and cost-effective data architectures on AWS, leveraging services like S3, Redshift, Glue, EMR, and Lambda.
• Develop and enforce data governance policies, ensuring data quality, integrity, and compliance with regulations.
• Create robust data pipelines for ingestion, transformation, and consumption, optimizing for performance and efficiency.
• Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Years of Experience *
Minimum 5 yrs
Required Skills *
· Strong experience designing enterprise-scale data platforms and data solutions .
· Strong knowledge of modern AWS data architecture , including:
• Amazon S3
• AWS Glue
• AWS Lake Formation
• Amazon Athena
• Amazon Redshift
• Amazon RDS / Aurora
· Strong understanding of data lake, lakehouse and data warehouse architectures .
· Strong knowledge of:
• Data modelling
• ETL / ELT architecture
• Data ingestion patterns
• Data integration
• Metadata and lineage
• Data quality
• Master and reference data concepts
· Experience designing Bronze, Silver and Gold data-layer architectures or similar medallion patterns.
· Strong understanding of batch, streaming and event-driven data architectures.
· Experience designing solutions integrating:
• Relational databases
• APIs
• Files / object storage
• Enterprise applications
• Streaming/event sources
· Strong understanding of cloud security principles including:
• IAM
• Encryption
• Data access controls
• Cross-account integration
• Network/security considerations
· Understanding of open table formats such as Apache Iceberg .
· Good knowledge of engineering technologies including Python, PySpark and SQL , sufficient to provide technical direction and design assurance.
· Experience reviewing engineering designs and providing architectural guidance through implementation.
· Strong stakeholder-management skills, with the ability to communicate complex architecture decisions to both technical and non-technical audiences.
Required Experience / Knowledge Areas *
· Strong experience in Data Architecture, Enterprise Data Platforms and Cloud Data Solutions .
· Demonstrable experience designing data solutions in complex enterprise environments.
· Strong experience with AWS-based Data Platforms .
· Experience within Banking or Financial Services strongly preferred.
· Good understanding of data governance, information security and regulatory requirements within a controlled enterprise environment.
· Experience taking solutions from initial business requirements through architecture, engineering, implementation and production .
· Experience working with multidisciplinary teams including Data Engineers, Platform Engineers, Security, Infrastructure, Enterprise Architects and business stakeholders.
Skills
AWS data services
data architecture
ETL/ELT
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