Data (Cloud Platform) Architect

AWS, Airflow, Nifi, AI/ML, Kafka, Snowflakes, Redshift, Bigdata, RDA, Data Architect, Cloud
Contract W2, Contract Independent, Contract Corp-To-Corp, 2 Years
$90 - $110
Work from home available Travel not required

Job Description

Please pay attention to the qualifications here as this is not a Developer role. We are looking to hire Architect Level candidate with Minimum 15 + Years of experience. . 
The Position –Data (Cloud Platform) Architect 

The Data (Cloud Platform) Architect is responsible for architecting Data On-Cloud solutions. The ideal candidate would also be responsible for conceptualizing and architecting cloud solutions to meet today’s high demand in areas such as AIML, IoT, advanced analytics, open source, enterprise collaboration, microservices, serverless, etc.  

The Data (Cloud Platform) Architect is responsible for delivering the next generation of Data Lake/Warehouse: Hybrid Cloud based virtualized data lake/ warehouse.  

Responsibilities include evangelizing data on cloud solutions with customers, leading Business and IT stakeholders through designing a robust, secure and optimized data architectures including a focus towards metadata services, to maximize the use of disparate data in lakes. This role will work with internal data engineers in delivering big data solutions on cloud. Using Amazon AWS Google Cloud Platform public cloud technologies, the Data (Cloud Platform) Architect professionals implements state of the art, scalable, high performance Data On Cloud solutions that meet the need of today’s corporate and emerging digital applications. 

The role of a big data solutions architect is a very technical one, but he or she should also have some other skills that are important in designing the right architecture for the right need. The big data solutions architect is responsible for the overall design and development of a vision that underlies a projected big data solution. 

The Architect will also assess the information architecture maturity of the data with industry-accepted data architecture principles and standards. Identify gaps and drive towards standardization and adoption across the organization for modelling, security, quality, metadata, among others. 

This role will also define data and application integration framework with the focus towards standardization and definition of standards and guidelines. Interaction with the Data & Engineering and IT Delivery teams to drive standardization across data architecture principles 

Education & Experience: 

  • Bachelor’s Degree with at least 15 years of experience  
    • At least 10 years of experience in big data, database and data warehouse architecture and delivery 
    • Minimum of 4 years of professional experience in Big Data architecture/ integration in the cloud and data governance 
  • Familiarity with metadata Management, data governance, data quality, MDM, Lineage, Data Catalog etc. 
  • Big Data/analytics/information analysis/database management in the cloud 
  • IoT/event-driven/application integration / microservices in the cloud 
  • Experience with private and public cloud architectures, pros/cons, and migration considerations. 
  • Deep understanding of the data architecture, integration and various industry frameworks 
  • Some hands-on experience implementing data processing using AWS services: AutoScaling, CloudFormation, LakeFormation,  Kafka, Nifi, Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, GraphDB, , Lambda, Spark, Glue, Sage Maker, Hive, Presto, AI/ML, etc. 
  • Broad technical and data architecture background. Familiarity and knowledge of cloud native platforms and technologies, abreast with industry trends 
  • A thought leader with knowledge of industry accepted data architecture principles, standards and integration within organizations. Focus towards enabling data literacy and governance 

Other skills: 

  • Great communication skills and team player 
  • Self-starter and ability to work in a matrix organisation 
  • Ability to deal with ambiguity and work towards bringing clarity 
  • Persuasion skills to align teams around a common construct – data architecture framework & capabilities 
  • Fast learner & adaptable and demonstrates critical and analytical thinking skills 
  • Ability to lead, and demonstrates intellectual curiosity  
  • Excellent communication and leadership skills 
Dice Id : 10110894
Position Id : 6922718
Originally Posted : 1 month ago
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