Cloud / Data Architect

Job Description

Data Architect-Cloud

Roles
& Responsibilities

-

Work with Data Analytic team in GLOBALFOUNDRIES to understand the
current Data landscape and help in designing the target architecture /
solutions that make the best use of the AWS Cloud platform and Analytics
Services.

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Prepare Solution design and guide technical team on building Data
lake for advanced analytics that includes Data extraction, Ingestion, Data
processing / curation and loading into final Data service.

-

Focus on Data processing, large scale data warehousing and
database migration capabilities and help to overcome any technical challenges
related to Cloud Data migrations

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Solution Architecture and Design leveraging AWS Analytics service
offering such DMS, Storage Gateway, S3, Amazon Kinesis, AWS Glue, Athena, Amazon
EMR, RDS and Snowflake / Redshift

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Engage with Enterprise Architecture team to develop solutions that
meets organizations security / compliance & technology standards /
guidelines , ensure solutions are aligned with Enterprise Strategy

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Works with IT team to review compliance of data security for
research applications, network and cloud infrastructure, and data storage.

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Participates in vendor selection for the deployment of data
solutions as needed.

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Design and implement Big Data and BI Data Warehousing solutions to
integrate data from one or more disparate sources. Review and analyze reporting
implementations to identify problems and areas needing enhancement.

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Collaborate with stakeholders to develop the logical and physical
design of IT infrastructure (hybrid and cloud based) to support a diverse
ecosystem of analytic application

Qualifications

Qualifications

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6+ years or more of previous experience
designing, deploying and operating cloud based solutions.

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Experience migrating high volume data from on
premise to cloud

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AWS Solution Architecture certification or relevant cloud
expertise.

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Hands on experience in AWS EMR, Data Transformation using PySpark
and building spark jobs that handles large volume of data

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Experience in building and using monitoring solution for Spark
Jobs and Optimizing Jobs for performance improvements

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Hands on experience in building Data Catalogue and handing schema
evolution in Cloud Data lake

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Experience in building solutions for Data security in Data Lake
and strong experience in AWS IAM.

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Experience migrating or transforming legacy customer solutions to
the cloud.

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Demonstrated ability to adapt to new technologies and learn
quickly.

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Ability to understand complex application data flows and bridge
the gap between technical and business app requirements

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Proven track record of successfully leading a
team of developers and/or consultants

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Experience in the semiconductor industry is preferred.

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ITIL skills are preferred

If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer of employment with GLOBALFOUNDRIES is conditioned upon the successful completion of a background check and drug screen, as applicable and subject to applicable laws and regulations.

GLOBALFOUNDRIES is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GLOBALFOUNDRIES goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law.

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