Role Summary :

We are seeking an experienced Data Architect to design and implement our enterprise data architecture, with a focus on Data Warehouse/Data Lake / Data Mesh. This position offers an opportunity to shape the data foundation of our organization, working with cutting-edge technologies and solving complex data challenges in a collaborative environment.

Key Responsibilities :

- Design, develop, and maintain scalable enterprise data architecture incorporating data warehouse, data lake, and data mesh concepts

- Create and maintain data models, schemas, and mappings that support Reporting, business intelligence, analytics, and AI/ML initiatives

- Establish data integration patterns for batch and real-time processing using AWS services (Glue, DMS, Lambda), Redshift.

- Define technical specifications for data storage, data processing, and data access patterns

- Develop data models and enforce data architecture standards, policies, and best practices

- Partner with business stakeholders to translate requirements into architectural solutions

- Lead data modernization initiatives, including legacy system migrations

- Create roadmaps for evolving data architecture to support future business needs

- Provide expert guidance on complex data problems and architectural decisions

Required Qualifications :

Education & Experience :

- Bachelor's degree in computer science, Information Systems, or related field;

- 8+ years of experience in data architecture, database design, data modelling or related roles

- 5+ years of experience with cloud data platforms, particularly AWS data services

- 3+ years of experience architecting MPP database solutions (Redshift, Snowflake, etc.)

- Expert knowledge of data warehouse architecture and dimensional modelling

- Strong understanding of AWS data services ecosystem (Redshift, S3, Glue, DMS, Lambda)

- Experience with SQL Server and migration to cloud data platforms

- Proficiency in data modelling, entity relationship diagrams, and schema design

- Working knowledge of data integration patterns and technologies (ETL/ELT, CDC)

- Experience with one or more programming/scripting languages (Python, SQL, Shell)

- Familiarity with data lake architectures and technologies (Parquet, Delta Lake, Athena)