Design robust Snowflake environments, optimize AI workloads, collaborate with teams, provide technical guidance, and lead initiatives in generative AI.
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Snowflake Principal Architect, you will be responsible for designing robust, secure, and high-performing Snowflake environments while enabling and optimizing AI workloads, and 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 activities.
Job Title: Snowflake Architect with Generative AI Experience – Exec Level
Key Responsibilities:
Snowflake Architecture & Engineering:
Design and implement Snowflake solutions across data ingestion, storage, transformation, and access.
Create and maintain reference architectures, accelerators, design patterns, and solution blueprints.
Track and evangelize Snowflake's latest features and assess their potential for client impact.
Lead capability growth initiatives by mentoring team members, driving POCs, and contributing to knowledge repositories.
Provide solutioning support, including proposal creation, estimations, and client presentations.
Develop performance-optimized pipelines using Snowflake-native capabilities and modern ELT tools (e.g., DBT, Airflow, Fivetran).
Establish data governance, security models, RBAC, and masking policies in line with compliance standards (e.g., SOC2, HIPAA, GDPR).
GenAI:
Collaborate with AI/ML teams to enable GenAI use cases leveraging Snowflake s native capabilities.
Stay abreast of evolving Snowflake & GenAI capabilities recommend and pilot new frameworks.
Integrate Cortex AI to build semantic search over unstructured and structured data.
Lead the development and deployment of Cortex-AI, including defining multi-modal responses.
Required Qualifications and Certifications:
15+ years of experience as a Snowflake Architect, Data Engineer, or similar role.
Strong command of Snowflake internals, including performance tuning, clustering, caching, cost optimization.
Strong knowledge of SQL, Snowflake scripting, and any one cloud platforms (AWS, Azure, or GCP).
Experience building or integrating Generative AI applications and experience with Snowflake Cortex.
Familiarity with Snowpark, Python, DBT, Fivetran, Streamlit.
Knowledge of Advanced Features like dynamic tables, Snowpipe streaming, SPCS, authentication etc.
Strong communication and architecture skills with the ability to bridge technical & business discussions.
SnowPro Core & SnowPro Advanced Architect Certification.
Education Qualification:
- 15 years full time education is required.15 years full time education
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Snowflake Principal Architect, you will be responsible for designing robust, secure, and high-performing Snowflake environments while enabling and optimizing AI workloads, and 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 activities.
Job Title: Snowflake Architect with Generative AI Experience – Exec Level
Key Responsibilities:
Snowflake Architecture & Engineering:
Design and implement Snowflake solutions across data ingestion, storage, transformation, and access.
Create and maintain reference architectures, accelerators, design patterns, and solution blueprints.
Track and evangelize Snowflake's latest features and assess their potential for client impact.
Lead capability growth initiatives by mentoring team members, driving POCs, and contributing to knowledge repositories.
Provide solutioning support, including proposal creation, estimations, and client presentations.
Develop performance-optimized pipelines using Snowflake-native capabilities and modern ELT tools (e.g., DBT, Airflow, Fivetran).
Establish data governance, security models, RBAC, and masking policies in line with compliance standards (e.g., SOC2, HIPAA, GDPR).
GenAI:
Collaborate with AI/ML teams to enable GenAI use cases leveraging Snowflake s native capabilities.
Stay abreast of evolving Snowflake & GenAI capabilities recommend and pilot new frameworks.
Integrate Cortex AI to build semantic search over unstructured and structured data.
Lead the development and deployment of Cortex-AI, including defining multi-modal responses.
Required Qualifications and Certifications:
15+ years of experience as a Snowflake Architect, Data Engineer, or similar role.
Strong command of Snowflake internals, including performance tuning, clustering, caching, cost optimization.
Strong knowledge of SQL, Snowflake scripting, and any one cloud platforms (AWS, Azure, or GCP).
Experience building or integrating Generative AI applications and experience with Snowflake Cortex.
Familiarity with Snowpark, Python, DBT, Fivetran, Streamlit.
Knowledge of Advanced Features like dynamic tables, Snowpipe streaming, SPCS, authentication etc.
Strong communication and architecture skills with the ability to bridge technical & business discussions.
SnowPro Core & SnowPro Advanced Architect Certification.
Education Qualification:
- 15 years full time education is required.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Top Skills
Airflow
AWS
Azure
Dbt
Fivetran
GCP
Snowflake
Snowflake Scripting
Snowpark
SQL
Streamlit
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
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