About the Role
We are looking for an experienced Snowflake Architect with 10+ years of overall IT experience and strong expertise in designing, implementing, and optimizing enterprise-scale data platforms using Snowflake. The ideal candidate will have a deep understanding of cloud data warehousing, data architecture, ETL/ELT frameworks, and data engineering best practices. This role requires close collaboration with business stakeholders, data engineers, architects, and analytics teams to build scalable, secure, and high-performing data solutions.
Key Responsibilities
· Design and implement scalable, secure, and high-performance data architectures using Snowflake.
· Define enterprise data models, data warehouse architecture, and best practices for data governance.
· Design and optimize ELT/ETL pipelines for structured and semi-structured data.
· Lead Snowflake implementation, migration, and modernization initiatives.
· Optimize Snowflake performance, query execution, clustering, partitioning, and cost management.
· Design data integration solutions using cloud-native and third-party ETL tools.
· Establish security frameworks, role-based access control (RBAC), data masking, and governance policies.
· Collaborate with Data Engineers, BI Developers, Data Scientists, and business stakeholders to deliver end-to-end data solutions.
· Conduct architecture reviews, performance tuning, and capacity planning.
· Mentor technical teams and establish development standards and best practices.
· Support CI/CD implementation and DevOps practices for data platforms.
· Prepare technical documentation, architecture diagrams, and solution design documents.
Required Skills & Experience
· 10+ years of overall IT experience with at least 5+ years of hands-on experience in Snowflake architecture and implementation.
· Strong expertise in Snowflake Data Cloud architecture and administration.
· Experience designing enterprise-scale data warehouse and lakehouse solutions.
· Strong SQL programming and query optimization skills.
· Experience with ETL/ELT tools such as Matillion, dbt, Informatica, Talend, Fivetran, or Azure Data Factory.
· Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
· Hands-on experience with data modeling techniques (Star Schema, Snowflake Schema, Data Vault, Dimensional Modeling).
· Experience with performance tuning, workload optimization, and Snowflake cost optimization.
· Knowledge of data security, governance, encryption, and compliance best practices.
· Experience with Git, CI/CD pipelines, and Agile development methodologies.
Preferred Skills
· Snowflake certifications (SnowPro Core or SnowPro Advanced).
· Experience with Python, Scala, or Java for data engineering tasks.
· Knowledge of Apache Spark, Kafka, or other big data technologies.
· Exposure to Power BI, Tableau, or other BI and visualization tools.
· Experience working with large-scale enterprise data migration projects.
· Understanding of DataOps and MLOps practices.
Educational Qualification
· Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
Key Competencies
· Strong analytical and problem-solving skills.
· Excellent communication and stakeholder management abilities.
· Proven experience in leading architecture discussions and technical solution design.
· Ability to mentor teams and drive technical excellence.
· Self-driven, proactive, and capable of working effectively in a remote environment.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Ampera Technologies
About
At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon