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Senior Data Architect
2 months ago
As a Senior Data Architect – Team Lead, we are looking for someone to work with our enterprise architect to develop a program, run as process owner, and build / configure acquire tooling to support the program.
Requirements and Required Experience:
Bachelor’s or Master's degree in Computer Science or related degree.
7+ years of hands-on cloud engineering experience with public clouds (AWS required)
5+ years of experience of Data Lake platform implementation
3+ years of IT management experience
Experience building and leading engineering teams
Experience in designing, building, and running enterprise distributed systems, real-time ETL, data pipelines
Experience with AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
Extensive experience working with RDBMS, Spark, Hadoop, Kafka
Experience with programming languages such as Java and Python
Design solutions with performance, maintainability, scalability, and reliability in mind
Knowledge and understanding of CI/CD pipelines and infrastructure as code (IaC)
Knowledge of and experience with serverless big data solutions in AWS
Exceptional personal communication and teamwork interaction skills
Able to work independently and collaboratively
Proven leadership skills, demonstrated ability to mentor, influence and partner with engineering teams to deliver scalable robust solutions.
Willingness to learn and improve
Daily Responsibilities:
Lead the development of patterns, standards and best practices in the data engineering and solutions space
Review and identify data solutions in collaboration with the technology teams across the enterprise
Work with engineering teams to implement architectures
Influence product and delivery requirements, roadmaps, and vision
Lead data architecture strategy, design and best practices data platforms and related solutions
Manage data engineering team under the Enterprise Architecture organization
Delivers:
Deliver enterprise solutions / architectures with emphasis on data privacy, integrity, scalability, and availability
Produce organized and comprehensive system architectures and the related documentation
Design and build functioning proof of concepts for proposed architectures
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