Snowflake SW – Data Architect
We are seeking a Snowflake Cloud Data Architect that will be responsible for defining, articulating, implementing and realizing our data architecture strategy to meet strategic Data Analytics goals. This role will involve a broad spectrum of application, information, technical, data and business architectures with an Enterprise focus across a global group of stakeholders.
Responsibilities:
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Define and implement standards and processes to ensure alignment with the architectural strategy and goals of the business
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Collaborate with key stakeholders to ensure data architecture alignment with key portfolio initiatives on the basis of cost, functionality and practicality
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Document and articulate relationships between business goals and information technology solutions
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Conduct architecture assessments and reviews to ensure alignment with business goals and strategies
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Provide in-depth technical architectural support during program/project solution analysis and design to ensure road-map alignment
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Champion data quality and effective use of available information
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Participate in POC evaluations of technologies and tools
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Implement data handling, cleansing, and standardization procedures and business transformation rules and logic (ETL).
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Develop, implement and maintain scripts, functions, stored procedures, and ETL jobs
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Translate complex business issues and requirements into structured analytics use cases
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Rapidly develop/test/iterate analyses that will reveal insight and opportunities for the client and build end to end analytical solutions
Qualifications:
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7+ years of database focused IT or software development experience with extensive integration experience.
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5+ years of experience implementing complex queries against large datasets to support business intelligence functions.
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5+ years of full lifecycle data warehousing experience or 5+ years of experience in implementing data integration efforts in large scale projects.
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5+ years of experience with ETL, application and database performance tuning and debugging.
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Lead technical pieces of client data warehouse implementations and on-boarding efforts
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Help clients troubleshoot the implementation of the product within their systems
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Identify, document, triage and track issues to ensure resolution
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Strong database and data warehouse experience, including recent experience writing and tuning complex SQL queries
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Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack)
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Experience implementing ETL pipelines using custom and packaged tools
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Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data Pipeline
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Presence: enthusiastic and high energy, but also poised, confident and extremely professional
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Innovative and assertive, with the ability to pick up new technologies and assess situations quickly
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Exercises listening skills, takes time to truly understand client needs and address them
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Track record of delivering results in a dynamic enterprise or start-up environment
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Strong sense of ownership and high attention to detail • Creative and analytical problem-solving skills
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Excellent written and verbal communication skills
