Data Architect with Splunk, Kinesis, and Lambda

Role: Data Architect

Location: Seattle WA preferred okay for Remote candidates as well

Rate: Market Rate

A Data Architect with expertise in Splunk 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.

Key Skills
Fund Management,Drafting,End User Support,Infrastructure,Airlines,Catia
Employment Type : Full Time
Experience: years
Vacancy: 1