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Data Architect with Spluk Kinesis 100% REMOTE
Data Architect with Spluk Kinesis 100% REMOTETalent Movers • WA, United States
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Data Architect with Spluk Kinesis 100% REMOTE

Data Architect with Spluk Kinesis 100% REMOTE

Talent Movers • WA, United States
8 days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

Role : Data Architect

Location : Seattle, WA preferred, okay for Remote candidates as well

Rate : Market Rate

A Data Architect with expertise in Splunk , Amazon Kinesis, and AWS Lambda is a specialist in designing and managing robust, scalable architectures for real-time data streaming and analysis. These skills are in high demand across various industries, particularly in IT services, consulting, and financial services.

Core Responsibilities

Key responsibilities for a data architect with these skills include :

  • Designing Data Pipelines : Creating end-to-end solutions for ingesting, transforming, and analyzing high-volume, real-time data streams using services like Amazon Kinesis and AWS Lambda.
  • Splunk Integration & Management : Architecting the integration of Kinesis data streams into Splunk for analytics, visualization, and monitoring, ensuring optimal performance and efficiency.
  • Defining Standards : Establishing data architecture frameworks, standards, and principles for modeling, metadata, security, and data flow to ensure consistency and compliance across systems.
  • Security and Governance : Implementing robust data security measures, including access controls and encryption, and ensuring compliance with data privacy regulations (e.g., GDPR, HIPAA).
  • Performance Optimization : Monitoring and optimizing system performance, troubleshooting complex data issues, and ensuring the architecture is scalable for growing data volumes.
  • Collaboration : Working closely with data engineers, data scientists, and business stakeholders to translate business requirements into technical specifications and ensure alignment with organizational goals.

Key Skills and Qualifications

Beyond the core skills, successful candidates often possess :

  • Programming proficiency in languages like Python or Java for custom data processing functions (e.g., within AWS Lambda).
  • Experience with cloud-native architectures and services on AWS, including S3, DynamoDB, and Amazon Managed Service for Apache Flink.
  • Knowledge of data modeling tools and big data technologies like Hadoop or Spark.
  • Strong analytical and problem-solving skills to manage data complexity.
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    Data Architect • WA, United States

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