Data Architect Aurigo Software Technologies

7.0 - 12.0 years

16 - 31 Lacs

bengaluru

Hybrid

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, Snowflake or Data Bricks. 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 Bachelors degree in computer science, Information Systems, or related field; Masters degree preferred 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) Excellent verbal and written communication skills, with ability to translate complex technical concepts to varied audiences Strong stakeholder management and influencing skills Experience implementing data warehouse, data lake and data mesh architectures Good to have knowledge of machine learning workflows and feature engineering Understanding of regulatory requirements related to data (Fed Ramp, GDPR, CCPA, etc.) Experience with big data technologies (Spark, Hadoop

Posted 11 hours ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.