Solutions Architect

4 days ago

kolkata, India LTIMindtree Full time
  • Overall 15+ years of experience in Data & Analytics Architecture & Design
  • Solid experience leading data teams in developing data engineering platforms.
  • Good working knowledge of one hyperscalar data services and associated data engineering tech stack:

1-Azure Data Factory (ADF), ADF metadata driven pipelines, MS SQL Server, Python and PySpark, MS Purview

2 -Snowflake and related data engineering

3-AWS, AWS Glue, AWS Redshift

4-Google BigQuery and related data engineering

  • SQL coding to write queries, stored procedures, views, functions etc.SQL management studio DB configuration experience.
  • Contribute to the delivery of data quality reviews including data cleansing where required to ensure integrity and quality.
  • Understand data models, data storage models and data migration to manage data within the organization, for a small to medium-sized project.
  • Work toward adherence to the relevant data engineering and data modelling processes, procedures and standards
  • Design and maintain the overall architecture for the platform in alignment with enterprise architecture and platform strategy (including architectural roadmaps)
  • Hands-on experience in building platforms and services using public cloud IaaS, PaaS, and SaaS platforms
  • Hands-on experience to define, implement the serverless and container-based cloud application architecture using Cloud and Multi-system integration
  • Hands-on coding experience using languages and DSLs PowerShell, Python, Bash, and SQL
  • Govern the implementation of the proposed transformation solution, test strategy, deployment strategy
  • Be able to provide technical direction and lead a team to address a goal
  • Architect and design solutions to meet functional and non-functional requirements
  • Create and review architecture and solution design artifacts
  • Enforce adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.
  • Experience with resilient and highly available mission critical technology components
  • Experience with multi-geo, multi-tier service design and operations
  • Identify, communicate, and mitigate Risks, Assumptions, Issues and Decisions throughout full lifecycle
  • Experience of working in multi-vendor team.
  • Proven ability to collaborate with diverse team of vendor and client.

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