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Publicis Sapient is seeking a skilled Cloud Architect to join our team. In this role, you will play a hands-on part in driving the architecture, design, and implementation of Snowflake for our clients. Additionally, you will utilize your cloud expertise in business development and pitch activities.
Key Responsibilites:
Play a key role in delivering data-driven interactive experiences to our clients
Forge close relationships with clients to understand their needs and effectively translate them into technological solutions.
Provide expertise as a technical resource to solve complex business issues that translate into data integration, processing, analytics and storage designs
Employ problem-solving skills to resolve issues and eliminate obstacles throughout the entire lifespan of client engagements
Design and implement scalable and streamlined data pipelines to address key business use cases and to meet data SLA requirements.
Ensuring all deliverables are high quality by setting development standards, adhering to the standards and participating in code reviews
Participate in integrated validation and analysis sessions of components and subsystems on production servers
Mentor, support and manage team members
Desired Profile:
Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel and understand how to use these features
Expertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures and standard DWH and ETL concepts
Proven track record of successfully building data driven solutions using integration, big-data processing and database and storage technologies
Experience establishing data quality processes, performing data analysis, participating in technology implementation planning, implementing data integration processes
Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
Experience in Data Migration to Snowflake cloud data warehouse
Experience in developing DBT models to transform data into useful, actionable information
Expertise in designing ETL frameworks with several years of hands on experience in implementing several aspects of data pipelines including ingestion, transformation, data quality checks, monitoring, alerts, notifications etc.
Experience with enterprise cloud economics
Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)
Hands-on expertise with SQL and SQL analytics
Industry benchmarking experience in major industries such as: Financial Services, Retail, Travel and Health
Must Have Skills: DBT, Snowflake, SQL, Python
Nice to Have Skills: Airflow, AWS Data analytics services, Scala, PySpark, Great Expectations.
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