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Cloud Data Lake Architect

Cloud Data Lake Architect
Dublin, OH
Health
Full Time/Permanent

Tekmark Job Number:

139891

Job Title:

Cloud Data Lake Architect

Job Location:

Dublin, OH

Job Category:

IT - Architect/Engineer - Data

Required Skills:

Big Data, AWS
Job Description:
-Client is seeking a Cloud Data Lake Architect

Responsibilities:
-The Cloud Data Lake Architect supports business process through technology solutions. This role is responsible for working in partnership with other Architects, developers and business partners in designing and building a secure and reliable data lake in cloud that meets the growing needs of the organization
-65% Support Enterprise Data Analytics function by working closely with business partners and other members of IT in building in designing and building an effective data lake in cloud Create governance rules for the data lake for easier and efficient consumption Design and Implement security of the data in the data lake Design and Deploy EMR clusters in AWS for large scale processing of varied data sets Monitor data lake performance and find ways to continuously improve query performance Monitor data lake costs /storage and build rules around data lifecycle management Enable master data across different domains through innovative ways to provide the single version of truth to downstream applications Collaborate with stakeholders, create architectural artifacts necessary for implementation and walk through solution design with other technical teams to ensure alignment
-25% Enable innovation through technology, conduct POCs, make fact based decisions to modernize technology stack
-10% Work with IT and business partners to train and share knowledge on data lake, master data and data governance and enable adoption of data lake/data warehouse across the organization

Qualifications:
-12+ Years of experience in Data Modeling, Data Warehousing, Dimensional Modeling, Data Modeling for Big data and Master data Management
-7+ Years hands-on experience with Enterprise and Reporting modeling including Logical/ Canonical Modeling, Dimensional Modeling
3+ Years of Hands-on Experience with Cloud based Storage, Data warehouses and Big data Frameworks -is a Must (AWS S3, RedShift, Dynamo DB, Athena, Elastic Search and other cloud native databases and big data processing frameworks using EMR, Spark, Python, Scala)
-3+ Years of experience designing Data Lake to accommodate Structured and Unstructured Data for Batch and Real-Time Ingestion
-1+ Years of Experience using AI/ML tools to architect solutions to translate Voice to Text in Real-Time
-AWS Solutions Architect and/or Big Data Certification highly preferred
-Strong Communication, Analytical and Presentation skills

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