Big Data Architect Position Available In Mecklenburg, North Carolina
Tallo's Job Summary: The Big Data Architect role in Charlotte, NC requires experience in platform engineering, Data LakeHouse optimization, Kubernetes deployments, transitioning on-premise platforms to cloud-based ones like AWS, and knowledge of distributed systems, Microservice architecture, containers, and cloud streaming. Hands-on experience with tech stack including Git Hub, AWS services, Python, EKS, Kubernetes, Apache Hudi, Flink, PostgreSQL, Java, and Terraform Enterprise is necessary. Helpful experience with Helm, Kafka, AWS services like CloudTrail, SNS, and Redshift is a plus.
Job Description
Big Data Architect
Job title: Big Data Architect
THIS ROLE IS HYBRID IN CHARLOTTE, NC
(2 DAYS
IN OFFICE REQ.
)
Must have experience with similar platform engineering/management solutions:
- Building/optimizing Data LakeHouse with Open Table formats
- Kubernetes deployments/cluster administration
- Transitioning on-premise big data platforms to scalable cloud-based platforms like AWS
- Distributed Systems, Microservice architecture, and containers
- Cloud Streaming use cases in Big Data Ecosystems (e.g., EMR, EKS, Hadoop, Spark, Hudi, Kafka/Kinesis)
Must have hands-on experience with below tech stack: - Git Hib and Git Hub Actions
AWS IAM, API
Gateway, Lambda, Step Functions, Lake Formation, Glue (Catalog, ETL, Crawler), Athena, S3 (Strong foundational concepts like object
data store vs block data store, encryption/decryption, storage tiers etc)
- Python
- EKS & Kubernetes, Apache Hudi, Flink, PostgreSQL and
SQL, RDS
- Java background
- Terraform Enterprise
Helpful tech stack experience would include:
Helm, Kafka and Kafka Schema Registry, AWS Services:
CloudTrail, SNS, SQS, CloudWatch, Aurora, EMR, Redshift, Iceberg, Vault, AWS Secrets manager
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:
91142326
Position Id:
8632670
