Design and lead scalable Snowflake data architectures across ingestion, storage, transformation, and access. Establish data modeling standards, security practices, performance tuning, and architecture guidelines. Mentor teams, lead proofs of concept, contribute to centers of excellence, and support presales through proposals, estimations, solutioning, and client presentations. Collaborate with integration and data architects while evaluating Snowflake and generative AI capabilities.
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Snowflake Data Warehouse
Good to have skills : Data Engineering, Data Build Tool, Fivetran
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Snowflake Architect you will design and implement scalable, secure, and high-performance Snowflake architectures across multiple projects and teams. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. From CoE perspective, you will collaborate closely on presales, support delivery teams, and lead the design and execution of POVs and POCs.
Roles & Responsibilities:
Project Role : Snowflake Architect
Project Role Description : Lead design and implementation of scalable, secure, and high-performance Snowflake architectures across multiple projects and teams. Contributes to CoE initiatives by creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects.
- Lead Snowflake solutions across data ingestion, storage, transformation, and access.
- 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.
- Familiar with Snowflake s 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.
--Good to have skills on DBT and Fivetran.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse, SnowPro Core Certification(must)
Good to have skills : dbt, Fivetran, GenAI Features in Snowflake
- Deep Expertise in Data Engineering.
- Strong communication skills.
Additional Information:
- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.
- This position is PAN India.
Overall Experience: 8-10 years
Snowflake Experience: Minimum 3 years15 years full time education
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Snowflake Data Warehouse
Good to have skills : Data Engineering, Data Build Tool, Fivetran
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Snowflake Architect you will design and implement scalable, secure, and high-performance Snowflake architectures across multiple projects and teams. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. From CoE perspective, you will collaborate closely on presales, support delivery teams, and lead the design and execution of POVs and POCs.
Roles & Responsibilities:
Project Role : Snowflake Architect
Project Role Description : Lead design and implementation of scalable, secure, and high-performance Snowflake architectures across multiple projects and teams. Contributes to CoE initiatives by creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects.
- Lead Snowflake solutions across data ingestion, storage, transformation, and access.
- 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.
- Familiar with Snowflake s 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.
--Good to have skills on DBT and Fivetran.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse, SnowPro Core Certification(must)
Good to have skills : dbt, Fivetran, GenAI Features in Snowflake
- Deep Expertise in Data Engineering.
- Strong communication skills.
Additional Information:
- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.
- This position is PAN India.
Overall Experience: 8-10 years
Snowflake Experience: Minimum 3 years15 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.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
