Data Architect

1 week ago

Bengaluru, Karnataka, India Aurigo Software Technologies Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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

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