Data Architect

Role: Architect - Data
Experience Level: 10+ Years
Work location: Mumbai/Bangalore/Trivandrum

Responsibilities

• Be a trusted technical advisor to customers and solutions for complex Cloud & Data related technical challenges.
  Be a thought leader in architecture design and development of cloud data
  analytics solutions.
  Liaison with internal and external stakeholders to design optimized data analytics solutions on AWS cloud.
  Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers.
  Support Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWs.
  Lead discovery and design workshops with potential customers across the globe.
  Design and deliver thought leadership webinars and tech talks alongside
  customers and partners.
  Identify areas for productization and feature enhancement for Quantiphis product assets.

Technical Qualifications

• Experience in designing, deploying, and operating highly available, scalable, secure, and fault-tolerant systems using Amazon Web Services (AWS) products like DMS, SCT Redshift, Lambda, Glue, S3, EMR, Kinesis.
  Strong experience in Data Migration using DMS and SCT services of AWS.
  Strong Experience in migration and modernization of databases and data
  warehouses on AWS cloud.
  Good understanding of traditional databases and data warehouses like Oracle, Teradata, and Netezza.
  Experience in developing ETL solutions using SSIS/Talend/Informatica.
  Experience with Back-end engineering /API development using Python etc.
• Strong knowledge in OLTP/OLAP Systems, Dimensional Strategies - Star Schema, Snowflake Schema, and Ralph Kimball Methodology.
  Ability to integrate 3rd party API programmatically. Ability to access AWS
  programmatically via its API.
• Write SQL code - Queries/Stored Procedures/Functions.
• Previous experience in working with distributed architectures like Hadoop,
  Map-reduce, etc.
  Understanding of DevOps best practices with CICD, Infrastructure as Code, etc.