Not specified; competitive salaries mentioned; mul...
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Aws or azure cloud technologies
Large-scale data lake and dwh solutions
Business intelligence tools like powerbi or tableau
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Merkle is seeking a Data Solutions Architect to lead the design and implementation of enterprise analytics and data science solutions using cloud technologies in a hybrid work environment. The ideal candidate should have at least three years of relevant experience, strong technical leadership skills, and a good understanding of business processes.
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Job Summary
The role involves providing thought leadership to drive the architecture of Enterprise Analytics and Data Science solutions using scalable cloud technologies.
Candidates will act as the technical point of contact for stakeholders, translating business goals into actionable insights across various industries.
The position offers a collaborative culture within a global network of over 70,000 employees, featuring hybrid work models and competitive benefits.
Matching Summary
Match Score: 75
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Merkle is seeking a Data Solutions Architect to lead the design and implementation of enterprise analytics and data science solutions using cloud technologies in a hybrid work environment. The ideal candidate should have at least three years of relevant experience, strong technical leadership skills, and a good understanding of business processes.
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Salary
Not specified; Competitive salaries mentioned; Multi-cultural environment benefits
Skills & Requirements
Must-have
AWS or Azure cloud technologies
Large-scale Data Lake and DWH solutions
Business Intelligence tools like PowerBI or Tableau
Data Science and Machine Learning concepts
Architecture methodologies like TOGAF or Archimate
Python, Java, Scala, or C++ programming
DevOps and DataOps automation practices
Nice-to-have
Experience with SAP or NetSuite ERP solutions
Knowledge of Salesforce or Adobe marketing platforms
Strong business acumen in sales and finance sectors
Mentorship and technical leadership skills
Pre-sales technical solution proposal experience
Key Requirements
Bachelor's or Master's degree in technology field
3+ years experience in data solution design and build
Proficiency in diagraming tools and enterprise architecture standards