Data Architect
- Accenture
- 7 - 11 years
- Bengaluru
- 3 months ago
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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, GEN AI
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 while enabling and optimizing real-time analytics pipelines. 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 collaborate closely on presales, support delivery teams, and lead the design and execution of POVs and POCs including GenAI features.
Roles & Responsibilities:
Project Role :Snowflake Senior Solution ArchitectProject Role Description :Architects end-to-end Snowflake solutions, including modeling, optimization, and security. Leads CoE initiatives by creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects- 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.- Track and evangelize Snowflake's latest features, and assess their potential for client impact and internal innovation.- 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.- Establish data governance, security models, RBAC, and masking policies in line with compliance standards (e.g., SOC2, HIPAA, GDPR).- 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.- Collaborate with AI/ML teams to enable GenAI use cases leveraging Snowflakes native capabilities (e.g., Cortex-AI, Streamlit apps, LLM models, Agentic-AI framework).- Design & solution the Gen-AI based workloads which are cost efficient and performant.- Have a complete understanding of Cortex analyst, Document AI, Cortex Search, LLM functions and their key use cases.Professional & Technical Skills:
Good to have skills :dbt, Fivetran- Experience or Knowledge of building or integrating Generative AI applications and experience with Snowflake Cortex.- 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 & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full timeContact Details:
Company: AccentureLocation(s): Bengaluru+ View Contact
Keyskills: snowflake warehouse data engineering snowpipe gen hive python performance tuning data warehousing data architecture sql unix shell scripting data modeling design architecture spark data governance data ingestion hadoop etl big data informatica
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