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Role: Data Architect Location: Atlanta, GA Role: Full Time Mode: On-Site Accepting H1B Transfer cases This role is a hands-on technical SME opportunity who will be designing software and services at scale and deliver creative, compelling solutions in the cloud that are cost-effective, reliable, and stable to build Business insight derivation applications on Marketing data sets. Work Experience/ Education: (Required work experience and education / preferred experience and education that is beneficial to the role. Work experience can include management experience or any functional expertise where proficiency is necessary to be successful in the role) Work Experience:
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- Minimum 6 years of experience working in IT department with Data & Analytics responsibilities
- 2+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)
- Recent 2+ years of experience working as Sr. Data Architect on Azure Cloud Platforms
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- 1+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases
- 2+ years of experience working with Google Analytics
- 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)
- Experience working on Data & Analytics projects using Agile methodologies
- Previous Retail, Convenience Store/Petroleum industry experience a plus
- Previous experience working with Punchh Loyalty platform data is a huge plus
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- Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.
- Any one of the generic Cloud Platform certifications (AWS, Azure, Google Cloud Platform, etc.,)
- Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)
- Azure Cloud technologies:
- Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,
- Databases:
- Must Have: SQL servers/SQL databases, MongoDB,
- BI Platforms:
- Must Have: Power BI, Power BI Premium,
- Other MS tools:
- Must Have: SSMS, SSIS, Visual Studio
- Advanced Analytics/Data Scientists tools:
- Must Have: Google Analytics, FireBase, RStudio Server, PyCharm
- Programming Languages:
- Must Have: SQL, JavaScript,
- Agile tools:
- Must Have: Azure DevOps,