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Senior Cloud Big Data Architect (1505)

at SMX in Augusta, Maine, United States

Job Description

Senior Cloud Big Data Architect (1505)at SMX (https://www.smxtech.com/careers/)

United States

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts.

Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

SMX is seeking a driven and talented Cloud Big Data Architect to join our thriving Cloud Services business unit. You will bring a passion for technology, a strong technical skill set, and proven experience in data collection, data organization, cleansing data analysis support, data lifecycle management, dashboards, and customer end user authentication / authorizations.

Essential Duties and Responsibilities:

+ Assist the customer in scoping the required raw data to be ingested into the cloud

+ Assist customer engineering team in the mechanics of ingestion of potentially very large data sets

+ Assist the customer in establishing event driven processes (eg, S3 bucket trigger when raw data arrives) that automatically transform the raw data into an organized and cleansed format ready for analysis by the customer

+ Assist the customer in leveraging native cloud services to present data analysis summaries via active dashboards, allowing the customer consumers to dive into the details of the analysis as necessary

+ Advising the customer on cloud training curriculum for data analysts to sharpen their skills on the latest tools available in the cloud

+ Coordinate with cyber and the customer on the lifecycle management (including cost estimates) of the raw data in addition to subsequent lifecycle management of cleansed data and analysis results

+ Coordinate with Engineering and the customer to determine the appropriate authentication and authorization model that minimizes NTA involvement in the enrollment process, and empowers the customer in self-management of the customer user base, while adhering to DoD policy

Required Skills:

+ Knowledgeable of the various native cloud services (AWS or GCC preferred) to assist the customer in organizing and cleansing the raw data

+ Knowledgeable of the various native cloud services (AWS or GCC preferred) to assist the customer in determining the type of analysis required, in addition to supporting the customer in delivering analytic products (to include, but not be limited to data mining, predictive analytics, and/or deep learning applications)

+ Designing Data Lake solutions with distributed data storage

+ SQL optimization

+ Understanding of DISA Secure Cloud Computing Architecture (SCCA), SCCA Functional Requirements Document (FRD), and DoD Cloud Computing Security Requirements Guide (SRG)

+ Understanding of DoD security accreditation process (Risk Management Framework – RMF) (direct experience with US Navy requirements and eMASS documentation standards preferred)

Sample Tool Experience

+ AWS Quicksight and/or PowerBI

+ AWS Redshift

+ AWS Glue and other ETL tools

+ EMR products (Apache Spark, Hive, Presto)

+ Sagemaker Notebooks (Jupyter)

Required Experience:

+ Has deployed a production application in AWS/Azure – knows CI/CD Agile Software Development.

+ Experience in Big Data Processing (ETL) techniques and projects

+ Experience working in a UNIX/Linux environment / some networking experience.

+ Hands-on experience with developing, deploying, and managing serverless AWS applications in a Navy / DoD Cloud context

+ Hands-on experience with cloud native data engineering pipeline development, use, and management

+ Production implementation experience with infrastructure as code for cloud infrastructure deployment and management (such as AWS Cloud Formation or HashiCorp TerraForm)

+ Solid understanding of engineering trade-offs between serverless and traditional architectures, including cost, performance, and scalability

+ Familiarity with air frame data collection mechanisms, common practices, and program / business usage of the data (this skill is a plus)

+ Understanding and familiarity with machine learning / data science, especially in a cloud environment for model training, analytics, and other use cases

Additional Role Requirements:

+ DoD Secret Clearance required with the ability to obtain a Top Secret Clearance

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SMX is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability status, protected veteran status, race, color, age, religion, national origin, citizenship, marital status, sex, sexual orientation, gender identity or expression, pregnancy or genetic information. Selected applicant will be subject to a background investigation. SMX is an Equal Opportunity/Affirmative Action employer.

Vaccination within 60-days of hire, or an approved accommodation, is a requirement of the position per Executive Order 14042 (unless precluded by State law). If a candidate is not vaccinated, they may request an accommodation once offered the position, and the accommodation must be granted prior to the employee starting in the position. Candidate will have 60 days to get vaccinated.

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Job Posting: JC217596848

Posted On: Jul 01, 2022

Updated On: Aug 04, 2022