7 Snowflake Architecture Jobs

Job Type: C2H (Long Term) Required Skill Set: Core Technical Skills: Snowflake database design, architecture & performance tuning Strong experience in Oracle DB and SQL query optimization Expertise in DDL/DML operations, data replication, and failover handling Knowledge of Time Travel, Cloning, and RBAC (Role-Based Access Control) Experience with dynamic data masking, secure views, and data governance Tools & Reporting: Familiarity with OEM, Tuning Advisor, AWR reports Soft Skills: Strong communication, coordination with app teams Analytical thinking and problem-solving Ability to work independently or collaboratively Additional Experience: Previous role as Apps DBA or similar Exposure to agile methodologies Hands-on with Snowflake admin best practices, load optimization, and secure data sharing.

JD for Snowflake Admin Key Responsibilities: Administer and manage Snowflake environments including user roles, access control, and resource monitoring. Develop, test, and deploy ELT/ETL pipelines using Snowflake SQL and other tools (e.g., Informatica, DBT, Matillion). Monitor query performance and storage utilization; implement performance tuning and optimization strategies. Manage and automate tasks such as warehouse scaling, Snowpipe ingestion, and task scheduling. Work with semi-structured data formats (JSON, XML, Avro, Parquet) using VARIANT and related functions. Set up and manage data sharing, replication, and failover across Snowflake accounts. Implement and manage security best practices including RBAC, masking policies, and object-level permissions. Collaborate with Data Engineers, Architects, and BI teams to support analytics use cases. Required Skills: Strong hands-on experience with Snowflake architecture, SQL, and performance tuning. Experience with Snowflake features such as Streams, Tasks, Time Travel, Cloning, and External Tables. Proficiency in working with SnowSQL and managing CLI-based operations. Knowledge of cloud platforms (AWS / Azure / GCP) and integration with Snowflake. Experience with data ingestion tools and scripting languages (Python, Shell, etc.). Good understanding of CI/CD pipelines and version control (Git). Role & responsibilities Preferred candidate profile

Required Skills: 8+ years of overall IT experience, with 4+ Snowflake development . Strong experience in Azure Data Platform tools including: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure Functions Proficient in Snowflake architecture , virtual warehouses , Snowpipe , and Streams & Tasks . Solid experience with SQL , Python , and performance tuning techniques. Understanding of data warehousing concepts, dimensional modeling , and metadata management . Experience integrating Snowflake with Power BI , Tableau , or similar BI tools. Familiar with CI/CD tools (Azure DevOps, Git) for pipeline deployments. Key Responsibilities: Design, develop, and optimize Snowflake-based data pipelines and data warehouse solutions . Implement data ingestion processes from diverse sources using Azure Data Factory (ADF) , Data Lake , and Event Hub . Develop scalable ELT/ETL workflows with Snowflake and Azure components. Create and optimize SQL scripts , stored procedures , and user-defined functions within Snowflake. Develop and maintain data models (dimensional and normalized) supporting business needs. Implement role-based access controls , data masking , and governance within Snowflake. Monitor performance and troubleshoot issues in Snowflake and Azure data pipelines. Work closely with business analysts, data scientists, and engineering teams to ensure data quality and delivery. Use DevOps practices for version control, CI/CD, and deployment automation.

Relevant Exp:5+ Yrs Mandatory Skills: Snowflake architecture, Matillion, SQL, Python, SnowSQL, any cloud Exp Night shift (6 PM to 3 AM) Complete WFO - 5 Days Email Id: anusha@akshayaitsolutions.com Loc: Hyd/ Ban/Chennai/Kolhapur

Responsibilities A day in the life of an Infoscion • As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. • You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. • You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. • You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: • Primary skills:Technology->Data on Cloud-DataStore->Snowflake Preferred Skills: Technology->Data on Cloud-DataStore->Snowflake Additional Responsibilities: • Knowledge of design principles and fundamentals of architecture • Understanding of performance engineering • Knowledge of quality processes and estimation techniques • Basic understanding of project domain • Ability to translate functional / nonfunctional requirements to systems requirements • Ability to design and code complex programs • Ability to write test cases and scenarios based on the specifications • Good understanding of SDLC and agile methodologies • Awareness of latest technologies and trends • Logical thinking and problem solving skills along with an ability to collaborate Educational Requirements Master Of Technology,MCA,MSc,Bachelor of Engineering,Bachelor Of Technology,BCA,BSc Role & responsibilities Preferred candidate profile Perks and benefits

About the Role - We are looking for an experienced Snowflake Admin to manage and optimize Snowflake cloud data platforms. The ideal candidate should have strong expertise in Snowflake architecture, performance tuning, security, and administration. This role requires the ability to troubleshoot issues, automate processes, and collaborate with cross-functional teams. Key Responsibilities: Administer and optimize Snowflake environments for performance and security. Manage user roles, permissions, and access controls. Implement best practices for database performance tuning and query optimization. Monitor system performance and troubleshoot issues proactively Work with data engineering teams to support ETL processes and integrations. Automate administrative tasks using SQL and scripting. Required Skills: 5+ years of experience in Snowflake administration. Expertise in Snowflake architecture, data sharing, and workload optimization. Strong knowledge of SQL, Python/Shell scripting for automation. Experience with data security, access management, and governance policies. Understanding of cloud environments (AWS/Azure/GCP) and Snowflake integrations. Contract Duration: 3 Months (C2C)

Snowflake Architect is responsible for designing, implementing, and optimizing data solutions using Snowflake Cloud Data Platform. They ensure scalability, security, and high performance in data warehousing, analytics, and cloud data solutions. Role & responsibilities 1. Architecture & Design Design end-to-end data solutions using Snowflake Cloud Data Platform. Define data architecture strategy, ensuring scalability and security. Establish best practices for Snowflake implementation, including data modeling, schema design, and query optimization. Design data lakes, data marts, and enterprise data warehouses (EDW) in Snowflake. 2. Data Engineering & Development Oversee ETL/ELT pipelines using Snowflake Snowpipe, Streams, Tasks, and Stored Procedures. Ensure efficient data ingestion, transformation, and storage using SQL, Python, or Scala. Implement data partitioning, clustering, and performance tuning for optimized query execution. 3. Security & Compliance Implement role-based access control (RBAC) and data governance policies. Ensure encryption, auditing, and data masking for security compliance. Define multi-cloud strategies (AWS, Azure, GCP) for Snowflake deployments. 4. Performance Optimization Optimize query performance and warehouse compute resources to reduce costs. Implement Materialized Views, Query Acceleration, and Caching to improve performance. Monitor Snowflake usage, cost management, and auto-scaling capabilities. 5. Integration & Automation Integrate Snowflake with BI tools (Tableau, Power BI, Looker), data lakes (S3, Azure Blob, GCS). Automate data workflows and pipeline orchestration using Airflow, dbt, or Snowflake Tasks. Implement CI/CD pipelines for data model deployments and schema changes. 6. Stakeholder Collaboration & Leadership Work closely with business analysts, data scientists, and IT teams to define requirements. Act as a technical advisor for Snowflake-related decisions and best practices. Provide mentorship and training to data engineers and analysts on Snowflake architecture. Key Skills Required: Snowflake Data Warehouse (Warehouses, Secure Data Sharing, Multi-Cluster Architecture) SQL, Python, Scala (for data processing and scripting) ETL/ELT & Data Pipelines (Informatica, Talend, dbt, Airflow) Cloud Services (AWS, Azure, GCP integration) Performance Tuning (Query Optimization, Snowflake Caching) Security & Governance (RBAC, PII Data Masking, Compliance) BI Tools Integration (Tableau, Power BI, Looker)