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Data Architect @ Accenture

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 Data Architect

Job Description


Project Role :
Data ArchitectProject Role Description :Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills :Snowflake Data Warehouse, Data Engineering
Good to have skills :
NAMinimum 12 year(s) of experience is required
Educational Qualification :
15 years full time educationSummary:As a Snowflake Architect, you will be responsible for designing robust, secure, and high-performing Snowflake environments. You will assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Your typical day will involve collaborating with cross-functional teams, analyzing requirements, designing application architecture, and providing technical guidance to ensure the successful delivery of projects. As a core contributor to the CoE, you will also collaborate closely on presales, support delivery teams, and lead the design and execution of POVs and POCs.
Roles & Responsibilities:-
Project Role :Snowflake Senior Solution Architect- Project Role Description :Architects end-to-end Snowflake solutions, including modelling, optimization, and security. Leads CoE initiatives by creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects.Snowflake Experience:Minimum 4 yearsCertifications:Any SnowPro Advanced Certified(Must).- Expected to be a SME in Snowflake with deep knowledge and experience. Collaborate with vendors to align solutions, drive CoE initiatives.- Design and implement enterprise-grade Snowflake solutions across data ingestion, storage, transformation, and access.- Create and maintain reference architectures, accelerators, design patterns, and solution blueprints for repeatability.- Lead capability growth initiatives by mentoring team members, driving POCs, and contributing to knowledge repositories.- Provide pre-sales support, including proposal creation, estimations, solutioning, and client presentations.- Define data modeling standards, physical schema designs, and best practices for structured and semi-structured data.- Possesses in-depth knowledge of Snowflakes advanced features, including Snowpark, Iceberg tables, dynamic tables, snowpipe streaming, SPCS, authentication & authorization methods, alerts, performance tuning, row level security, masking, tagging, etc.- Stay abreast of evolving Snowflake and GenAI capabilities; recommend and pilot new tools and frameworks.Professional & Technical Skills:
  • - Must To Have Skills:
  • Proficiency in Snowflake Data Warehouse, Any SnowPro Advanced Certification(must).
    Good to have skills :dbt, Fivetran, GenAI features in Snowflake- Deep Expertise in Data Engineering.- Strong communication and solution architecture skills with the ability to bridge technical and business discussions.- Should have Influencing and Advisory skills.- Responsible for team decisions.Additional Information:- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.- This position is . Qualification 15 years full time education
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: DBA / Data warehousing
    Role: Data warehouse Architect / Consultant
    Employement Type: Full time

    Contact Details:

    Company: Accenture
    Location(s): Bengaluru

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    Keyskills:   snowflake warehouse data engineering snowpipe data modeling hive python performance tuning data warehousing data architecture sql plsql tableau unix shell scripting design architecture spark data ingestion hadoop etl big data informatica

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    Accenture

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